Triple
T14259427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METRO A Line |
E353472
|
entity |
| Predicate | usesBrand |
P1500
|
FINISHED |
| Object | METRO |
E349884
|
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: METRO | Statement: [METRO A Line, usesBrand, METRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: METRO Context triple: [METRO A Line, usesBrand, METRO]
-
A.
METRO
chosen
METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
-
B.
Metro S.A.
Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
-
C.
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
-
D.
Cine Metro
Cine Metro is a historic cinema located on Lima’s Plaza San Martín, known for its classic architecture and role in the city’s cultural life.
-
E.
Metro Insurgentes
Metro Insurgentes is a major Mexico City Metro station on Line 1, located near the Glorieta de Insurgentes and serving as a key transit hub for the Roma and Zona Rosa areas.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd467b8300819091454dfa36ec2a9d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:09 a.m.