Triple

T16762204
Position Surface form Disambiguated ID Type / Status
Subject Normandy waterways network E407373 entity
Predicate hasPart P35 FINISHED
Object River Sée E733963 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: River Sée | Statement: [Normandy waterways network, hasPart, River Sée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Sée
Context triple: [Normandy waterways network, hasPart, River Sée]
  • A. Sée River chosen
    The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
  • B. Cèze River
    The Cèze River is a tributary of the Rhône in southern France, known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
  • C. River Suze
    River Suze is a small river in the Jura region of Switzerland that flows through the town of Saint-Imier and contributes to the area's industrial and historical development.
  • 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. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abed67f88190afb1d392ff01a5e7 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec7a4a48190802061e5cd634ea3 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:21 a.m.