Triple

T15759261
Position Surface form Disambiguated ID Type / Status
Subject Arraiolos Municipality E382049 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Arraiolos 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 | Statement: [Arraiolos Municipality, hasMunicipalSeat, Arraiolos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arraiolos
Context triple: [Arraiolos Municipality, hasMunicipalSeat, Arraiolos]
  • A. Arraiolos chosen
    Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
  • B. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. Ortigueira
    Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
  • D. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • E. Arriaga
    Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8774eda08190a6231b4fd5027e6f completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.