Triple

T16169746
Position Surface form Disambiguated ID Type / Status
Subject CD Leganés E392402 entity
Predicate location P40 FINISHED
Object Leganés 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 | Statement: [CD Leganés, location, Leganés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leganés
Context triple: [CD Leganés, location, Leganés]
  • 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. 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.
  • C. Fuenlabrada
    Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
  • D. Alcobendas
    Alcobendas is a municipality in the northern metropolitan area of Madrid, Spain, known for its residential neighborhoods, business parks, and cultural facilities.
  • E. Valverde de Leganés
    Valverde de Leganés is a municipality in the autonomous community of Extremadura in western Spain, near the border with Portugal.
  • 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_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.