Triple
T17261607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Retiro district |
E419021
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Barrio de Ibiza |
E403332
|
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: Barrio de Ibiza | Statement: [Retiro district, contains, Barrio de Ibiza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrio de Ibiza Context triple: [Retiro district, contains, Barrio de Ibiza]
-
A.
Barrio de Ibiza
chosen
Barrio de Ibiza is a residential neighborhood in Madrid known for its proximity to El Retiro Park and its mix of traditional shops, bars, and local services.
-
B.
Gavà
Gavà is a coastal municipality in Catalonia, Spain, located near Barcelona and known for its beaches and archaeological heritage.
-
C.
Valldemossa
Valldemossa is a picturesque mountain village on the Spanish island of Mallorca, renowned for its historic Carthusian monastery and scenic stone streets.
-
D.
El Cabanyal
El Cabanyal is a historic seaside neighborhood in Valencia, Spain, known for its traditional fishermen’s houses and distinctive colorful tilework.
-
E.
Burjassot
Burjassot is a municipality in the metropolitan area of Valencia, Spain, known for its residential character and proximity to major university and research facilities.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171041f2c81909bf52025d68912fc |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.