Triple
T2542172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRT Line 2 |
E57808
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Recto station |
E296468
|
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: Recto station | Statement: [LRT Line 2, hasStation, Recto station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recto station Context triple: [LRT Line 2, hasStation, Recto station]
-
A.
Recto station
chosen
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.
-
B.
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.
-
C.
Kanamecho Station
Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
-
D.
Shuri Station
Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
-
E.
Kitashinchi Station
Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6316e848190a843f9fd5b152e9f |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:47 p.m.