Triple
T18854514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makati Central Business District |
E461135
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Buendia MRT Station |
—
|
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: Buendia MRT Station | Statement: [Makati Central Business District, servedBy, Buendia MRT Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buendia MRT Station Context triple: [Makati Central Business District, servedBy, Buendia MRT Station]
-
A.
Guadalupe MRT station
Guadalupe MRT station is an elevated rapid transit station on Manila's MRT Line 3 serving the Guadalupe area of Makati, Philippines.
-
B.
Magallanes MRT station
Magallanes MRT station is an elevated rapid transit station on Manila’s MRT Line 3 serving the Makati area near the South Luzon Expressway.
-
C.
Buendia station
chosen
Buendia station is an elevated rapid transit stop on Manila's MRT Line 3 serving the busy Buendia Avenue area in Makati, Philippines.
-
D.
Buendia station
Buendia station is a railway stop on the Philippine National Railways network serving passengers in the Makati area of Metro Manila.
-
E.
San Babila Metro station
San Babila Metro station is a central Milan underground station serving the historic city core and providing access to major shopping and business 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.