Triple

T12173259
Position Surface form Disambiguated ID Type / Status
Subject Saint-Clair (French localities) E290024 entity
Predicate hasToponymicElement P96333 FINISHED
Object Clair E317633 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: Clair | Statement: [Saint-Clair (French localities), hasToponymicElement, Clair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clair
Context triple: [Saint-Clair (French localities), hasToponymicElement, Clair]
  • A. Clair chosen
    Clair is a feminine given name most famously associated with the character Clair Huxtable from the television series "The Cosby Show."
  • B. Clarinda
    Clarinda was the pseudonym of Agnes Maclehose, a Scottish woman best known for her romantic correspondence with poet Robert Burns.
  • C. Clarinda
    Clarinda is a small city in southwestern Iowa known for its agricultural community and historic Midwestern charm.
  • D. Clara
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • E. Clara
    Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91c5102848190ad652c3d6445f65a completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.