Triple

T9196185
Position Surface form Disambiguated ID Type / Status
Subject La Roche-sur-Foron E220713 entity
Predicate nearRiver P350 FINISHED
Object Arve E344664 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: Arve | Statement: [La Roche-sur-Foron, nearRiver, Arve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arve
Context triple: [La Roche-sur-Foron, nearRiver, Arve]
  • A. Arve chosen
    The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
  • B. Atle
    Atle is a masculine given name of Scandinavian origin, commonly used in Norway.
  • C. Eilif
    Eilif is one of Mother Courage’s sons in Bertolt Brecht’s play "Mother Courage and Her Children," whose experiences as a soldier highlight the brutalizing effects of war.
  • D. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • E. Arne
    Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.