Triple
T6457574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfe Operadora |
E142030
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Feve
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
|
E594896
|
NE FINISHED |
How this triple was built (4 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: Feve | Statement: [Renfe Operadora, brand, Feve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feve Context triple: [Renfe Operadora, brand, Feve]
-
A.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
B.
Fla-Flu
Fla-Flu is one of Brazil’s most famous and historic football rivalries, contested between Rio de Janeiro clubs Flamengo and Fluminense.
-
C.
Chengue
Chengue is an archaeological site in Colombia associated with the pre-Columbian Tairona culture, known for its stone terraces and evidence of complex indigenous settlement.
-
D.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
-
E.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Feve Triple: [Renfe Operadora, brand, Feve]
Generated description
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feve Target entity description: Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
-
A.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
B.
Fla-Flu
Fla-Flu is one of Brazil’s most famous and historic football rivalries, contested between Rio de Janeiro clubs Flamengo and Fluminense.
-
C.
Chengue
Chengue is an archaeological site in Colombia associated with the pre-Columbian Tairona culture, known for its stone terraces and evidence of complex indigenous settlement.
-
D.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
-
E.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69c64fba85a08190ad270b010294f86a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6508c2fb481909da94b4f67e95ecf |
completed | March 27, 2026, 9:40 a.m. |
Created at: March 22, 2026, 4:48 p.m.