Triple
T18435248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glorietta |
E450372
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Rustan’s Makati |
—
|
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: Rustan’s Makati | Statement: [Glorietta, connectedTo, Rustan’s Makati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rustan’s Makati Context triple: [Glorietta, connectedTo, Rustan’s Makati]
-
A.
Rustan’s Makati
chosen
Rustan’s Makati is an upscale department store in Makati, Philippines, known for its luxury brands and high-end shopping experience.
-
B.
Ortigas Center
Ortigas Center is a major mixed-use central business district in the Philippines known for its corporate offices, shopping malls, and high-rise developments.
-
C.
Glorietta Malls
Glorietta Malls is a large, multi-building shopping and lifestyle complex located in the Makati central business district of Metro Manila, Philippines.
-
D.
SM Megamall
SM Megamall is one of the largest shopping malls in the Philippines, located in Mandaluyong City and known for its extensive retail, dining, and entertainment options.
-
E.
SM City Dasmariñas
SM City Dasmariñas is a large SM Supermall in Dasmariñas, Cavite, serving as a major retail, dining, and entertainment hub for the city and nearby areas.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0bd35c8190b66d62ad9987377f |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:28 a.m.