Triple
T11612469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Stock Exchange |
E275416
|
entity |
| Predicate | formerHeadquartersLocation |
P62
|
FINISHED |
| Object |
Ortigas Center, Pasig, Metro Manila, Philippines
Ortigas Center in Pasig, Metro Manila, is a major central business district in the Philippines known for its concentration of corporate offices, shopping malls, and mixed-use developments.
|
E936674
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ortigas Center, Pasig, Metro Manila, Philippines | Statement: [Philippine Stock Exchange, formerHeadquartersLocation, Ortigas Center, Pasig, Metro Manila, Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortigas Center, Pasig, Metro Manila, Philippines Context triple: [Philippine Stock Exchange, formerHeadquartersLocation, Ortigas Center, Pasig, Metro Manila, Philippines]
-
A.
Pasay, Metro Manila, Philippines
Pasay, Metro Manila, Philippines is a highly urbanized coastal city in the National Capital Region known for hosting major transport hubs, commercial centers, and entertainment complexes.
-
B.
Tondo, Manila, Philippines
Tondo, Manila, Philippines is a densely populated and historically significant district of Manila known for its working-class communities and vibrant urban culture.
-
C.
Binondo, Manila, Philippines
Binondo in Manila, Philippines is the city’s historic Chinatown district, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and cuisine.
-
D.
Pandacan, Manila
Pandacan, Manila is a riverside district in the city of Manila historically known for its large oil depot, industrial facilities, and working-class residential communities.
-
E.
Los Baños, Laguna, Philippines
Los Baños, Laguna, Philippines is a university town and science hub on the island of Luzon known for its agricultural research institutions, hot springs, and proximity to Mount Makiling.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ortigas Center, Pasig, Metro Manila, Philippines Triple: [Philippine Stock Exchange, formerHeadquartersLocation, Ortigas Center, Pasig, Metro Manila, Philippines]
Generated description
Ortigas Center in Pasig, Metro Manila, is a major central business district in the Philippines known for its concentration of corporate offices, shopping malls, and mixed-use developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ortigas Center, Pasig, Metro Manila, Philippines Target entity description: Ortigas Center in Pasig, Metro Manila, is a major central business district in the Philippines known for its concentration of corporate offices, shopping malls, and mixed-use developments.
-
A.
Pasay, Metro Manila, Philippines
Pasay, Metro Manila, Philippines is a highly urbanized coastal city in the National Capital Region known for hosting major transport hubs, commercial centers, and entertainment complexes.
-
B.
Tondo, Manila, Philippines
Tondo, Manila, Philippines is a densely populated and historically significant district of Manila known for its working-class communities and vibrant urban culture.
-
C.
Binondo, Manila, Philippines
Binondo in Manila, Philippines is the city’s historic Chinatown district, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and cuisine.
-
D.
Pandacan, Manila
Pandacan, Manila is a riverside district in the city of Manila historically known for its large oil depot, industrial facilities, and working-class residential communities.
-
E.
Los Baños, Laguna, Philippines
Los Baños, Laguna, Philippines is a university town and science hub on the island of Luzon known for its agricultural research institutions, hot springs, and proximity to Mount Makiling.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8311bcc8190a3fe7d28c593aea3 |
completed | April 22, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69e8af9665648190b7732076aa129671 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b41febc8190bc37672535735710 |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.