Triple

T10900560
Position Surface form Disambiguated ID Type / Status
Subject Charente-Maritime E257427 entity
Predicate traversedByRiver P165 FINISHED
Object Seudre E615630 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: Seudre | Statement: [Charente-Maritime, traversedByRiver, Seudre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seudre
Context triple: [Charente-Maritime, traversedByRiver, Seudre]
  • A. Seudre chosen
    Seudre is a coastal river in southwestern France that flows through the historical province of Saintonge before reaching the Atlantic Ocean.
  • B. Sercquiais
    Sercquiais is a Norman dialect of the French language traditionally spoken on the Channel Island of Sark.
  • C. L’Agly
    L’Agly is a coastal river in southern France that flows through the Pyrénées-Orientales and Aude departments before emptying into the Mediterranean Sea.
  • D. Golfe-Juan
    Golfe-Juan is a seaside district on the French Riviera, known for its beaches and marina on the Mediterranean coast.
  • E. Nadur
    Nadur is a traditional village on the eastern side of the Maltese island of Gozo, known for its rural character, scenic viewpoints, and historic parish church.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2f02881908b70be6499dd8d98 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155306e9081909433522eeecf2b7d completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.