Triple
T8473411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires bus network |
E200332
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | Premetro |
E716615
|
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: Premetro | Statement: [Buenos Aires bus network, integratedWith, Premetro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premetro Context triple: [Buenos Aires bus network, integratedWith, Premetro]
-
A.
Premetro
chosen
Premetro is a light rail or tramway feeder line that connects outlying neighborhoods to the main Buenos Aires Subte (subway) network.
-
B.
Metropolitano
Metropolitano is a former operator of the San Martín Line, a railway service in Argentina.
-
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.
Länsimetro
Länsimetro is a major westward extension of the Helsinki Metro that connects central Helsinki with the neighboring city of Espoo through a series of new underground stations.
-
E.
MG Metro
The MG Metro is a performance-oriented small hatchback produced by MG in the 1980s as a sportier, tuned version of the Austin/Rover Metro.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a057b6c8190ad592110ca393ee2 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.