Triple

T22606645
Position Surface form Disambiguated ID Type / Status
Subject Matarraña comarca E566578 entity
Predicate containsSettlement P847 FINISHED
Object Valjunquera NE NERFINISHED

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: Valjunquera | Statement: [Matarraña comarca, containsSettlement, Valjunquera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valjunquera
Context triple: [Matarraña comarca, containsSettlement, Valjunquera]
  • A. Valjunquera chosen
    Valjunquera is a small municipality in the province of Teruel, Aragon, Spain, situated in the Matarranya (Matarraña) comarca and known for its rural landscape and traditional architecture.
  • B. Urqueira
    Urqueira is a small locality or parish within the municipality of Ourém in central Portugal.
  • C. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • D. Benacazón
    Benacazón is a town in the province of Seville, Spain, known for serving as an endpoint on the Seville commuter rail network.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.