Triple
T16169764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CD Leganés |
E392402
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Leganés, Madrid |
E93493
|
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: Leganés, Madrid | Statement: [CD Leganés, basedIn, Leganés, Madrid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leganés, Madrid Context triple: [CD Leganés, basedIn, Leganés, Madrid]
-
A.
Leganés
chosen
Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
-
B.
Valverde de Leganés
Valverde de Leganés is a municipality in the autonomous community of Extremadura in western Spain, near the border with Portugal.
-
C.
Boadilla del Monte
Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
-
D.
Villaverde, Spain
Villaverde, Spain is an industrial district in Madrid known for its major automotive manufacturing facilities.
-
E.
Paracuellos de Jarama
Paracuellos de Jarama is a municipality near Madrid, Spain, known for its proximity to Madrid–Barajas Airport and its historical and military significance.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb5e6d881908749683091afa90c |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000785fcd481909ddf92cf9cc5c0aa |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.