Triple

T6639308
Position Surface form Disambiguated ID Type / Status
Subject Line 7 (Madrid Metro) E150543 entity
Predicate hasStation P35 FINISHED
Object Henares E466341 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: Henares | Statement: [Line 7 (Madrid Metro), hasStation, Henares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henares
Context triple: [Line 7 (Madrid Metro), hasStation, Henares]
  • A. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • B. San Fernando de Henares chosen
    San Fernando de Henares is a municipality in the Community of Madrid, Spain, known for its industrial areas and proximity to Madrid’s metropolitan core.
  • C. Medina del Campo
    Medina del Campo is a historic town in the province of Valladolid, Spain, known for its medieval fairs, strategic importance in Castilian history, and association with Queen Isabella I.
  • D. 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.
  • E. Ávila
    Ávila is a historic walled city in central Spain, renowned for its remarkably well-preserved medieval fortifications and Romanesque and Gothic architecture.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff1fe8081908c32db341b0fb354 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aea6d608190a6e58f46f69a574a completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2 p.m.