Triple

T20719146
Position Surface form Disambiguated ID Type / Status
Subject Ancre River E509261 entity
Predicate nameInFrench P6538 FINISHED
Object 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: Ancre | Statement: [Ancre River, nameInFrench, Ancre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancre
Context triple: [Ancre River, nameInFrench, Ancre]
  • A. Tournelle
    Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
  • B. Pontgouin
    Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
  • C. La Cambe
    La Cambe is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to major World War II sites including a large German war cemetery.
  • D. Ancre valley chosen
    Ancre valley is a region in the Somme department of northern France that was a significant World War I battlefield, particularly during the Battle of the Somme.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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.