Triple

T12814370
Position Surface form Disambiguated ID Type / Status
Subject URCA E306352 entity
Predicate hasCampusIn P4623 FINISHED
Object Chaumont E306353 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: Chaumont | Statement: [URCA, hasCampusIn, Chaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaumont
Context triple: [URCA, hasCampusIn, Chaumont]
  • A. Chaumont chosen
    Chaumont is a commune in northeastern France known as a local administrative and educational center, including hosting a campus of the University of Reims Champagne-Ardenne.
  • B. Ville Haute
    Ville Haute is the historic city-center district of Luxembourg City, known for its medieval fortifications, government buildings, and main shopping streets.
  • C. Maillardville
    Maillardville is a historic, predominantly Francophone neighbourhood in Coquitlam, British Columbia, known for its early 20th-century French-Canadian mill community roots.
  • D. Madisonville
    Madisonville is a small city in western Kentucky known historically for coal mining and serving as a regional commercial hub.
  • E. Fermont
    Fermont is a remote mining town in northeastern Quebec, Canada, known for its large iron ore operations and distinctive windbreak building designed to shield the community from harsh Arctic winds.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9beb30819097c256a5aab9a4c8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.