Triple

T13870715
Position Surface form Disambiguated ID Type / Status
Subject canton of Yutz E333440 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Boust E825011 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: Boust | Statement: [canton of Yutz, containsAdministrativeTerritorialEntity, Boust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boust
Context triple: [canton of Yutz, containsAdministrativeTerritorialEntity, Boust]
  • A. Boust chosen
    Boust is a small commune in northeastern France’s Moselle department, near the border with Luxembourg and Germany.
  • B. Boussens
    Boussens is a commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
  • C. Booué
    Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
  • D. Buëch
    Buëch is a river in southeastern France that flows through the Hautes-Alpes and Drôme departments before joining the Durance.
  • E. Beaufays
    Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70e48788190997562e045f3b014 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.