Triple
T8376528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Underground Line A |
E197590
|
entity |
| Predicate | formerOperator |
P179
|
FINISHED |
| Object | Metrovías |
E192125
|
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: Metrovías | Statement: [Buenos Aires Underground Line A, formerOperator, Metrovías]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metrovías Context triple: [Buenos Aires Underground Line A, formerOperator, Metrovías]
-
A.
Metrovías
chosen
Metrovías is an Argentine private company that operated and managed public transportation services in Buenos Aires, including the city’s underground metro system, for many years.
-
B.
Minimetrò
Minimetrò is an automated, cable-driven people mover system that serves as a key component of Perugia’s urban public transportation network.
-
C.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
D.
Metrorail
Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
-
E.
Metro Trains
Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c094908190afe9cc54ce4f4d58 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:01 p.m.