Triple

T4604204
Position Surface form Disambiguated ID Type / Status
Subject Vosges department E100389 entity
Predicate contains P35 FINISHED
Object Neufchâteau E455901 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: Neufchâteau | Statement: [Vosges department, contains, Neufchâteau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neufchâteau
Context triple: [Vosges department, contains, Neufchâteau]
  • A. Neufchâteau chosen
    Neufchâteau is a small historic town in northeastern France known for its role as an administrative and commercial center in the Vosges region.
  • B. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • C. Cinnaminson
    Cinnaminson is a suburban township in Burlington County, New Jersey, located along the Delaware River and within the Philadelphia metropolitan area.
  • D. Mattersburg
    Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
  • E. New Castle
    New Castle is a historic riverfront city in northern Delaware known for its well-preserved colonial architecture and role as an early center of government in the state.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be034e509c8190b2da7e2eaf2acb48 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.