Triple

T13061491
Position Surface form Disambiguated ID Type / Status
Subject Stourmouth E329207 entity
Predicate locatedNear P294 FINISHED
Object Sarre E238341 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: Sarre | Statement: [Stourmouth, locatedNear, Sarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarre
Context triple: [Stourmouth, locatedNear, Sarre]
  • A. Saar
    Saar was a short-lived postwar German protectorate that competed independently in international events, including the Olympics, before rejoining West Germany.
  • B. Saar
    The Saar is a river in western Europe that flows through northeastern France and western Germany, giving its name to the German state of Saarland.
  • C. Saar River chosen
    The Saar River is a major river in northeastern France and western Germany that flows through the industrial region of Saarland before joining the Moselle.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. Moselle
    Moselle is a department in northeastern France, bordering Germany and Luxembourg, known for its strategic location, industrial history, and mixed French-German cultural heritage.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e7ee548190b4b18bdb1357c359 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d6016984819097c999772db1e831 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:59 p.m.