Triple

T4931713
Position Surface form Disambiguated ID Type / Status
Subject Porrentruy E110710 entity
Predicate twinnedWith P1072 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: [Porrentruy, twinnedWith, Neufchâteau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neufchâteau
Context triple: [Porrentruy, twinnedWith, 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b18b6c8190bbc8d0764f6a03bf completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.