Triple

T1493017
Position Surface form Disambiguated ID Type / Status
Subject Moulins E29623 entity
Predicate traversedBy P225 FINISHED
Object Allier River E14395 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: Allier River | Statement: [Moulins, traversedBy, Allier River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allier River
Context triple: [Moulins, traversedBy, Allier River]
  • A. Allier River chosen
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • B. Drôme River
    The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
  • C. Rive Droite
    Rive Droite is the northern, historically affluent bank of the Seine in Paris, known for its grand boulevards, major museums, and iconic landmarks.
  • D. Têt River
    The Têt River is a coastal river in southern France that flows through the Pyrénées-Orientales department before emptying into the Mediterranean Sea.
  • E. Sorgue River
    The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c4f0c88190a97ba4910c1a5d85 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae891d41d88190aec6987c64c99757 completed March 9, 2026, 8:47 a.m.
Created at: March 1, 2026, 8:12 p.m.