Triple

T6395601
Position Surface form Disambiguated ID Type / Status
Subject C-5 E143932 entity
Predicate serves P98 FINISHED
Object Fuenlabrada E95404 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: Fuenlabrada | Statement: [C-5, serves, Fuenlabrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuenlabrada
Context triple: [C-5, serves, Fuenlabrada]
  • A. Fuenlabrada chosen
    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.
  • 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. Leganés
    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.
  • D. Collado Villalba
    Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
  • E. Móstoles
    Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0688275d0819086b58123c743a6db completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cafb3d4c8190a00e66839c3eaf01 completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:35 p.m.