Triple

T9244669
Position Surface form Disambiguated ID Type / Status
Subject Aljustrel E222158 entity
Predicate municipalSeat P15510 FINISHED
Object Aljustrel (town) E222158 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: Aljustrel (town) | Statement: [Aljustrel, municipalSeat, Aljustrel (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aljustrel (town)
Context triple: [Aljustrel, municipalSeat, Aljustrel (town)]
  • A. Aljustrel chosen
    Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
  • B. Villena
    Villena is a historic city in the province of Alicante, Spain, known for its medieval castle, archaeological heritage, and traditional festivals.
  • C. Guadix
    Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
  • D. Garrovillas de Alconétar
    Garrovillas de Alconétar is a historic municipality in the province of Cáceres, Extremadura, Spain, known for its well-preserved medieval architecture and traditional Plaza Mayor.
  • E. Castejón
    Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03efaa748190973916bd790f6e3a completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f14804819098f443a2517ad461 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:30 p.m.