Triple
T23428584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moncloa-Aravaca |
E563261
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aravaca |
—
|
NE NERFINISHED |
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: Aravaca | Statement: [Moncloa-Aravaca, contains, Aravaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aravaca Context triple: [Moncloa-Aravaca, contains, Aravaca]
-
A.
Aravaca
chosen
Aravaca is a residential neighborhood in the Moncloa-Aravaca district of Madrid, Spain, known for its affluent character and proximity to the city center.
-
B.
Coslada
Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
-
C.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
D.
Lebrija
Lebrija is a historic town and municipality in southern Spain’s Andalusia region, known for its agricultural economy and traditional flamenco culture.
-
E.
Santa Ana de Triana
Santa Ana de Triana is a historic Catholic parish church in Seville’s Triana neighborhood, renowned as one of the city’s oldest and most emblematic religious buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ba29881909945690496f28d65 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:48 p.m.