Triple

T15704964
Position Surface form Disambiguated ID Type / Status
Subject Arraiolos E380683 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Arraiolos (town) E380683 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: Arraiolos (town) | Statement: [Arraiolos, hasMunicipalSeat, Arraiolos (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arraiolos (town)
Context triple: [Arraiolos, hasMunicipalSeat, Arraiolos (town)]
  • A. Arraiolos chosen
    Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
  • B. Arraiolos Municipality
    Arraiolos Municipality is a local administrative region in Portugal known for its historic town and traditional hand-embroidered wool rugs called Arraiolos carpets.
  • C. Arayat
    Arayat is a municipality in the Philippine province of Pampanga, known for the prominent Mount Arayat and its surrounding agricultural landscape.
  • D. Villar de los Navarros
    Villar de los Navarros is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
  • E. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6fc3608190a85b25755f5345db completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.