Triple

T20719126
Position Surface form Disambiguated ID Type / Status
Subject Ancre River E509261 entity
Predicate flowsThrough P225 FINISHED
Object Beaucourt-sur-l’Ancre 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: Beaucourt-sur-l’Ancre | Statement: [Ancre River, flowsThrough, Beaucourt-sur-l’Ancre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaucourt-sur-l’Ancre
Context triple: [Ancre River, flowsThrough, Beaucourt-sur-l’Ancre]
  • A. Beaucourt
    Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
  • B. Bessancourt
    Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
  • C. Beaucourt-en-Santerre chosen
    Beaucourt-en-Santerre is a small rural commune in the Somme department of northern France, situated within the historical region of Picardy.
  • D. Breteuil
    Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
  • E. Juvancourt
    Juvancourt is a small commune in the Aube department in north-central 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d39bec8190b3642b0d6d833375 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:26 p.m.