Triple
T12337882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universidad station |
E294138
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tren Urbano |
E51431
|
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: Tren Urbano | Statement: [Universidad station, partOf, Tren Urbano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tren Urbano Context triple: [Universidad station, partOf, Tren Urbano]
-
A.
Tren Urbano
chosen
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
B.
Metropistas
Metropistas is a private concessionaire that operates and manages toll highways and related infrastructure in Puerto Rico.
-
C.
Mi Tren
Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
-
D.
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
-
E.
Buenos Aires Underground
Buenos Aires Underground is the rapid transit system serving Argentina’s capital, known as the oldest subway network in Latin America and a key component of the city’s public transportation.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.