Triple

T6395604
Position Surface form Disambiguated ID Type / Status
Subject C-5 E143932 entity
Predicate terminus P388 FINISHED
Object Humanes de Madrid E590191 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: Humanes de Madrid | Statement: [C-5, terminus, Humanes de Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humanes de Madrid
Context triple: [C-5, terminus, Humanes de Madrid]
  • A. Humanes de Madrid chosen
    Humanes de Madrid is a municipality in the Community of Madrid, Spain, located in the metropolitan area southwest of the capital.
  • B. Cantoblanco, Madrid
    Cantoblanco, Madrid is a northern district of Madrid known primarily as the site of the Autonomous University of Madrid’s main campus and associated research and residential facilities.
  • C. Madrid-Sol
    Madrid-Sol is a central commuter rail and metro hub in Madrid, Spain, serving as one of the city’s busiest and most important transit interchanges.
  • D. Las Rozas de Madrid
    Las Rozas de Madrid is a suburban municipality northwest of central Madrid, known for its residential areas, business parks, and large outlet shopping centers.
  • E. Madrid-Nuevos Ministerios
    Madrid-Nuevos Ministerios is a key transport hub in central Madrid that connects multiple commuter rail, metro, and bus lines, serving as a major interchange for passengers traveling across the city and its suburbs.
  • 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_69c640bcc94c81909efb0253e8c0e7f5 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:35 p.m.