Triple

T16174578
Position Surface form Disambiguated ID Type / Status
Subject JIM E392528 entity
Predicate hostCity P1798 FINISHED
Object Marciac E405403 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: Marciac | Statement: [JIM, hostCity, Marciac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marciac
Context triple: [JIM, hostCity, Marciac]
  • A. Marciac chosen
    Marciac is a small town in southwestern France renowned for hosting the annual Jazz in Marciac festival, one of Europe’s major jazz events.
  • B. Moissac
    Moissac is a historic town in southern France renowned for its Romanesque abbey and cloister, which are listed as a UNESCO World Heritage Site.
  • C. Figeac
    Figeac is a historic town in southwestern France known for its medieval architecture and as the birthplace of Jean-François Champollion, who deciphered Egyptian hieroglyphs.
  • D. Montignac
    Montignac is a small town in southwestern France best known as the gateway to the prehistoric Lascaux cave complex.
  • E. Jonzac
    Jonzac is a small historic town in southwestern France known for its thermal spa resort, medieval château, and role as an administrative center in the Charente-Maritime department.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebab54c81908d82dd6a26c406c2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.