Triple
T11738712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilmore station |
E279096
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Betty Go-Belmonte station |
E281314
|
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: Betty Go-Belmonte station | Statement: [Gilmore station, adjacentStation, Betty Go-Belmonte station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Go-Belmonte station Context triple: [Gilmore station, adjacentStation, Betty Go-Belmonte station]
-
A.
Betty Go-Belmonte station
chosen
Betty Go-Belmonte station is an elevated light rail transit station in Quezon City, Philippines, serving commuters along Manila's LRT Line 2.
-
B.
Belen station
Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
-
C.
Vicente Valdés station
Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
-
D.
Acevedo station
Acevedo station is a major elevated terminal and transfer station on the Medellín Metro system in Medellín, Colombia.
-
E.
Ortigas station
Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019c339cc81909967ecfa234e4ab8 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.