Triple

T16172949
Position Surface form Disambiguated ID Type / Status
Subject Pont de Condom E392485 entity
Predicate crosses P416 FINISHED
Object Baïse E65929 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: Baïse | Statement: [Pont de Condom, crosses, Baïse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baïse
Context triple: [Pont de Condom, crosses, Baïse]
  • A. Baïse chosen
    Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
  • B. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • C. Bassenge
    Bassenge is a municipality in the province of Liège in eastern Belgium, known for its rural character and location in the Geer valley near the Dutch border.
  • D. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • E. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.