Triple

T19570747
Position Surface form Disambiguated ID Type / Status
Subject Frachey E489706 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Comune of Ayas 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: Comune of Ayas | Statement: [Frachey, locatedInAdministrativeTerritory, Comune of Ayas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune of Ayas
Context triple: [Frachey, locatedInAdministrativeTerritory, Comune of Ayas]
  • A. Comune di Ayas chosen
    Comune di Ayas is an Italian municipality in the Aosta Valley region, known for its Alpine villages and ski resort areas including Champoluc.
  • B. Ayas
    Ayas is a mountain commune in Italy’s Aosta Valley, known for its Alpine scenery and ski resorts including the village of Champoluc.
  • C. Ayas
    Ayas was a major medieval Mediterranean port city that served as a key commercial and maritime hub for the Armenian Kingdom of Cilicia.
  • D. Chora District
    Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
  • E. Afyonkarahisar Municipality
    Afyonkarahisar Municipality is the local government authority responsible for administering public services, urban planning, and municipal affairs in the city of Afyonkarahisar, Turkey.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402043588190a99f5a55c5dcd8a6 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.