Triple

T17042113
Position Surface form Disambiguated ID Type / Status
Subject Meoqui E413469 entity
Predicate hasNeighboringCity P3883 FINISHED
Object Delicias E87797 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: Delicias | Statement: [Meoqui, hasNeighboringCity, Delicias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delicias
Context triple: [Meoqui, hasNeighboringCity, Delicias]
  • A. Delicias
    Delicias is a neighborhood in Madrid, Spain, known for its residential character and proximity to the city’s central railway hub, Estación de Atocha.
  • B. Delicias chosen
    Delicias is an important agricultural and industrial city in the Mexican state of Chihuahua, known especially for its cotton and pecan production.
  • C. City of Delicias
    The City of Delicias is an urban center in the Mexican state of Chihuahua known for its agricultural production and regional economic importance.
  • D. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • E. Delicias de Concepción
    Delicias de Concepción is a small municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f771608190b596138ddec118c6 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:33 a.m.