Triple
T10574757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Barcelona Metro) |
E249579
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Tetuan
Tetuan is a Barcelona Metro station on line 2 located beneath Plaça de Tetuan in the Eixample district of Barcelona, Spain.
|
E871705
|
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: Tetuan | Statement: [Line 2 (Barcelona Metro), hasStation, Tetuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetuan Context triple: [Line 2 (Barcelona Metro), hasStation, Tetuan]
-
A.
Xàtiva
Xàtiva is a historic town in the Valencian Community of Spain, known for its medieval castle, rich cultural heritage, and role as the birthplace of the Borgia family.
-
B.
Qurtuba
Qurtuba is a residential district in Kuwait City known for its planned neighborhoods and proximity to key urban amenities in the capital.
-
C.
El Ejido
El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
-
D.
Zagora
Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
-
E.
Zagora
Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
- 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: Tetuan Triple: [Line 2 (Barcelona Metro), hasStation, Tetuan]
Generated description
Tetuan is a Barcelona Metro station on line 2 located beneath Plaça de Tetuan in the Eixample district of Barcelona, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tetuan Target entity description: Tetuan is a Barcelona Metro station on line 2 located beneath Plaça de Tetuan in the Eixample district of Barcelona, Spain.
-
A.
Xàtiva
Xàtiva is a historic town in the Valencian Community of Spain, known for its medieval castle, rich cultural heritage, and role as the birthplace of the Borgia family.
-
B.
Qurtuba
Qurtuba is a residential district in Kuwait City known for its planned neighborhoods and proximity to key urban amenities in the capital.
-
C.
El Ejido
El Ejido is a major agricultural town in southeastern Spain, renowned for its extensive greenhouse farming and intensive fruit and vegetable production.
-
D.
Zagora
Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
-
E.
Zagora
Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:38 p.m.