Triple
T14412402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Movida Madrileña |
E357361
|
entity |
| Predicate | mainLocation |
P3231
|
FINISHED |
| Object | Chueca |
E551771
|
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: Chueca | Statement: [Movida Madrileña, mainLocation, Chueca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chueca Context triple: [Movida Madrileña, mainLocation, Chueca]
-
A.
Chueca area
chosen
Chueca area is a vibrant Madrid neighborhood renowned for its lively LGBTQ+ scene, trendy bars, restaurants, and fashionable boutiques.
-
B.
Triana neighborhood
Triana neighborhood is a historic district of Seville, Spain, famed for its flamenco heritage, traditional ceramics, and vibrant riverside atmosphere.
-
C.
Collado Mediano
Collado Mediano is a small municipality in the Community of Madrid, Spain, located in the Sierra de Guadarrama mountain range.
-
D.
Barrio de Salamanca
Barrio de Salamanca is an affluent, centrally located district of Madrid known for its elegant 19th-century architecture, upscale shopping streets, and prestigious residential character.
-
E.
Carabanchel
Carabanchel is a district in southwestern Madrid, Spain, known for its residential neighborhoods, historical prison site, and integration into the city's metro network.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.