Triple

T2710869
Position Surface form Disambiguated ID Type / Status
Subject Truyère River E59855 entity
Predicate partOf P40 FINISHED
Object Lot River basin E114077 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 basin | Statement: [Truyère River, partOf, Lot River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lot River basin
Context triple: [Truyère River, partOf, Lot River basin]
  • A. Lot River chosen
    The Lot River is a major river in southern France known for its winding course through scenic valleys, vineyards, and historic towns before joining the Garonne.
  • B. Bass River
    Bass River is a tidal river and estuary on Cape Cod in Massachusetts, known for its boating, fishing, and scenic salt marshes.
  • C. Charles River Basin
    The Charles River Basin is a prominent urban waterway and recreational area along the lower Charles River in the Boston–Cambridge area, known for boating, scenic views, and public events.
  • D. Hudson River watershed
    The Hudson River watershed is the extensive drainage basin in eastern New York (and parts of surrounding states) whose rivers, streams, and reservoirs ultimately flow into the Hudson River and then the Atlantic Ocean.
  • E. Three Rivers
    Three Rivers was an Amtrak long-distance passenger train that operated between New York City and Chicago via Pittsburgh.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda78c4f08190bb1217f08198c4cc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08633e4108190a783b29a10efcc76 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:55 p.m.