Triple

T3842258
Position Surface form Disambiguated ID Type / Status
Subject Meuse E93477 entity
Predicate prefecture P7509 FINISHED
Object Bar-le-Duc E374784 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: Bar-le-Duc | Statement: [Meuse, prefecture, Bar-le-Duc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bar-le-Duc
Context triple: [Meuse, prefecture, Bar-le-Duc]
  • A. Bar-le-Duc chosen
    Bar-le-Duc is a historic town in northeastern France, known as the former capital of the Duchy of Bar and for its Renaissance architecture and traditional mirabelle plum jam.
  • B. Montbard
    Montbard is a small historic town in the Côte-d'Or department of eastern France, known for its Burgundian heritage and association with naturalist Georges-Louis Leclerc, Comte de Buffon.
  • C. Thionville
    Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
  • D. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • E. Saint-Dizier
    Saint-Dizier is a commune in northeastern France known as an industrial town in the Haute-Marne department of the Grand Est region.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec330d09c819085930d71b21acb7c completed March 21, 2026, 4:11 p.m.
Created at: March 9, 2026, 3:18 p.m.