Triple
T18089267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabuyao |
E432922
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | The Golden City of the Philippines |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Golden City of the Philippines | Statement: [Cabuyao, hasNickname, The Golden City of the Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Golden City of the Philippines Context triple: [Cabuyao, hasNickname, The Golden City of the Philippines]
-
A.
Emerald City of the Philippines
The Emerald City of the Philippines is a nickname for Muntinlupa, a highly urbanized city in Metro Manila known for its rapid development and prominent commercial and residential districts.
-
B.
Queen City of South Luzon
Queen City of South Luzon is the nickname of Legazpi City, a major urban, commercial, and tourism hub in the Bicol Region of the Philippines known for its proximity to Mayon Volcano.
-
C.
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.
-
D.
San Nicolas, Manila
San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
-
E.
San Miguel, Manila
San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Golden City of the Philippines Target entity description: The Golden City of the Philippines is a nickname for Cabuyao, a highly urbanized city in Laguna known for its rapid economic growth and thriving industrial and residential developments.
-
A.
Emerald City of the Philippines
The Emerald City of the Philippines is a nickname for Muntinlupa, a highly urbanized city in Metro Manila known for its rapid development and prominent commercial and residential districts.
-
B.
Queen City of South Luzon
Queen City of South Luzon is the nickname of Legazpi City, a major urban, commercial, and tourism hub in the Bicol Region of the Philippines known for its proximity to Mayon Volcano.
-
C.
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.
-
D.
San Nicolas, Manila
San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
-
E.
San Miguel, Manila
San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
- F. None of above. chosen
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.