Triple

T18513070
Position Surface form Disambiguated ID Type / Status
Subject Russell E452389 entity
Predicate hasCommunity P2605 FINISHED
Object Embrun 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: Embrun | Statement: [Russell, hasCommunity, Embrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embrun
Context triple: [Russell, hasCommunity, Embrun]
  • A. Embrun
    Embrun is a historic town in southeastern France’s Hautes-Alpes department, known for its picturesque setting in the Alps and proximity to the Lac de Serre-Ponçon.
  • B. Embrun chosen
    Embrun is a rapidly growing Franco-Ontarian community in eastern Ontario, known for its bilingual character and proximity to Ottawa.
  • C. Moûtiers
    Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
  • D. Jeumont
    Jeumont is a commune in northern France, near the Belgian border, historically known for its industrial and electrical engineering activities.
  • E. Viviers
    Viviers is a historic town in southern France known for its well-preserved medieval architecture and role as an important religious and administrative center in the Rhône Valley.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53346f9488190bc2e4570564bede0 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.