Triple
T4536752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makati |
E107424
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object | Ayala station |
E301901
|
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: Ayala station | Statement: [Makati, hasRailStation, Ayala station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayala station Context triple: [Makati, hasRailStation, Ayala station]
-
A.
Ayala station
chosen
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
-
B.
Ortigas station
Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
-
C.
Recto station
Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
-
D.
Universidad station
Universidad station is a Tren Urbano rapid transit stop serving the area around the main campus of the University of Puerto Rico in San Juan.
-
E.
Expo Center station
Expo Center station is a light rail station in Portland, Oregon, serving as the northern terminus of TriMet’s MAX Yellow Line near the Portland Expo Center.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb91e51988190aee638cc21c6cf54 |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:04 p.m.