Triple

T9218883
Position Surface form Disambiguated ID Type / Status
Subject Douve River valley E221309 entity
Predicate namedAfter P63 FINISHED
Object Douve River E607823 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: Douve River | Statement: [Douve River valley, namedAfter, Douve River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douve River
Context triple: [Douve River valley, namedAfter, Douve River]
  • A. Douve River chosen
    The Douve River is a waterway in northwestern France that flows through the Normandy region and played a notable role in the World War II Normandy campaign.
  • B. Ource River
    The Ource River is a small river in northeastern France that flows through the Champagne region, including the village of Essoyes, before joining the Seine.
  • C. Shetrunji River
    The Shetrunji River is a significant river in the Saurashtra (Kathiawar) region of Gujarat, India, known for supporting agriculture and local ecosystems before draining into the Arabian Sea.
  • D. Versoix River
    The Versoix River is a small river in western Switzerland that flows through the canton of Geneva before emptying into Lake Geneva.
  • E. Tynda River
    The Tynda River is a tributary of the Zeya River in Russia’s Amur Oblast, known for flowing through the town of Tynda in the Russian Far East.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1820133348190a25ba1ab3fc7359d completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:27 p.m.