Triple
T12641218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayala station |
E301901
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Glorietta |
E450372
|
NE FINISHED |
How this triple was built (2 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: Glorietta | Statement: [Ayala station, nearbyPlace, Glorietta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glorietta Context triple: [Ayala station, nearbyPlace, Glorietta]
-
A.
Glorietta
chosen
Glorietta is a large shopping mall complex and commercial center located in the central business district of Makati in Metro Manila, Philippines.
-
B.
Upper Bicutan
Upper Bicutan is a barangay (village-level administrative division) located in the highly urbanized city of Taguig in Metro Manila, Philippines.
-
C.
Central Bicutan
Central Bicutan is a barangay (administrative district) located within the city of Taguig in Metro Manila, Philippines.
-
D.
Laguna Street
Laguna Street is a major north–south thoroughfare in San Francisco, California, running through neighborhoods such as Hayes Valley and connecting residential areas with key city destinations.
-
E.
Cabanga neighborhood
Cabanga neighborhood is a waterfront district in Recife, Brazil, known for its marinas, nautical activities, and proximity to the city’s central area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687770388190b4777885dae8a38f |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.