Triple

T9820709
Position Surface form Disambiguated ID Type / Status
Subject Loiret department E238522 entity
Predicate hasRiver P165 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: [Loiret department, hasRiver, Loing River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loing River
Context triple: [Loiret department, hasRiver, 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4f31e3d5c8190a044eaf67ebc9f08 completed April 19, 2026, 3:22 p.m.
Created at: March 30, 2026, 8:31 p.m.