Triple
T6457573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfe Operadora |
E142030
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Cercanías |
E582703
|
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: Cercanías | Statement: [Renfe Operadora, brand, Cercanías]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cercanías Context triple: [Renfe Operadora, brand, Cercanías]
-
A.
Cercanías
chosen
Cercanías is Spain’s network of suburban and commuter rail services that connect major cities with their surrounding metropolitan areas.
-
B.
Seville commuter rail
Seville commuter rail is a regional rail network serving the metropolitan area of Seville, Spain, connecting the city with its surrounding suburbs and towns.
-
C.
Cercanías Madrid Line C-2
Cercanías Madrid Line C-2 is a commuter rail line in the Madrid metropolitan area that connects central Madrid with its northeastern suburbs as part of the Cercanías Madrid network.
-
D.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
E.
Tren Ligero
Tren Ligero is a light rail transit system in Mexico City that complements the metro and bus networks by serving southern areas of the city.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d758508190b9c7358ef84f8169 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bdef4a881908f3d7b6eefab7def |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.