Triple

T7278520
Position Surface form Disambiguated ID Type / Status
Subject Lot (department) E163090 entity
Predicate traversedBy P225 FINISHED
Object Lot (river) E447919 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: Lot (river) | Statement: [Lot (department), traversedBy, Lot (river)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lot (river)
Context triple: [Lot (department), traversedBy, Lot (river)]
  • A. Lot (river) chosen
    The Lot is a river in southern France that flows through the Massif Central and picturesque valleys before joining the Garonne.
  • B. Lovat River
    The Lovat River is a waterway in northwestern Russia that flows through the Novgorod region before emptying into Lake Ilmen.
  • C. Lotru River
    The Lotru River is a mountain river in Romania that flows through the Southern Carpathians and is known for its hydroelectric developments and scenic valley.
  • D. Or River
    The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
  • E. River Granta
    The River Granta is a tributary watercourse in Cambridgeshire, England, that forms part of the upper reaches of the River Cam and flows through rural villages before joining the main river near Cambridge.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb3251808190bd9da71bc183c945 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e532a7f08190a5c0b1167dc0be44 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:59 p.m.