Triple
T18515612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbelt |
E452452
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Glorietta |
—
|
NE NERFINISHED |
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: [Greenbelt, near, Glorietta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glorietta Context triple: [Greenbelt, near, 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.
Glorietta Park
Glorietta Park is a public recreational area in Coronado, California, known for its waterfront views, open green spaces, and family-friendly amenities.
-
C.
Ciudad Ayala
Ciudad Ayala is a town in the Mexican state of Morelos known for its agricultural surroundings and role as the municipal seat of Ayala.
-
D.
Paseo de Filipinos
Paseo de Filipinos is a major avenue in Valladolid, Spain, known for linking the city center with key cultural and historical areas.
-
E.
Upper Bicutan
Upper Bicutan is a barangay (village-level administrative division) located in the highly urbanized city of Taguig in Metro Manila, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338a628c81909db08ae7dc94f59a |
completed | April 19, 2026, 7:56 p.m. |
Created at: April 10, 2026, 11:36 a.m.