Triple

T7071525
Position Surface form Disambiguated ID Type / Status
Subject Seine watershed E164709 entity
Predicate contains P35 FINISHED
Object Loing River E308828 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: Loing River | Statement: [Seine watershed, contains, Loing River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loing River
Context triple: [Seine watershed, contains, Loing River]
  • A. Loing chosen
    The Loing is a river in central France that flows through the regions of Burgundy and Île-de-France before joining the Yonne.
  • B. Essonne River
    The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
  • C. river Orge
    The river Orge is a tributary of the Seine in the Île-de-France region of northern France, flowing through several suburban towns south of Paris.
  • D. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • E. Grand-Orly Seine Bièvre
    Grand-Orly Seine Bièvre is a French intercommunal structure in the southern suburbs of Paris that groups together multiple municipalities for coordinated local governance and development.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca1463cacc8190b143ab1ced648ec7 completed March 30, 2026, 6:12 a.m.
Created at: March 27, 2026, 2:39 p.m.