Triple

T21034619
Position Surface form Disambiguated ID Type / Status
Subject Hofgeismar E518156 entity
Predicate hasTwinTown P919 FINISHED
Object Pont-Audemer NE NERFINISHED

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: Pont-Audemer | Statement: [Hofgeismar, hasTwinTown, Pont-Audemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Audemer
Context triple: [Hofgeismar, hasTwinTown, Pont-Audemer]
  • A. Pont-Audemer chosen
    Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
  • B. Pont-Saint-Martin
    Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
  • C. Eperlecques
    Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
  • D. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • E. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc84b4ac8190bcee5fbba730b499 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:01 p.m.