Triple

T4016436
Position Surface form Disambiguated ID Type / Status
Subject Metz E90772 entity
Predicate capitalOf P204 FINISHED
Object Moselle department E50127 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: Moselle department | Statement: [Metz, capitalOf, Moselle department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moselle department
Context triple: [Metz, capitalOf, Moselle department]
  • A. Moselle department chosen
    The Moselle department is an administrative region in northeastern France, bordering Germany and Luxembourg, known for its industrial heritage, fortified military sites, and mixed French-German cultural influences.
  • B. Meurthe-et-Moselle
    Meurthe-et-Moselle is a department in northeastern France known for its capital Nancy, rich industrial history, and Art Nouveau architectural heritage.
  • C. Meuse department
    The Meuse department is an administrative region in northeastern France known for its World War I battlefields, particularly around Verdun.
  • D. Manche department
    Manche department is a coastal administrative region in Normandy, northwestern France, known for its role in the D-Day landings and its rugged shoreline along the English Channel.
  • E. Ardennes department
    The Ardennes department is a largely rural administrative region in northeastern France known for its forested landscapes, river valleys, and historic role as a strategic battleground in both World Wars.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa7352481908232534c89a698e7 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556295aa081908e803233b986fec9 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:35 p.m.