Triple

T13316497
Position Surface form Disambiguated ID Type / Status
Subject Humber drainage basin E317200 entity
Predicate hasPart P35 FINISHED
Object River Went E91141 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: River Went | Statement: [Humber drainage basin, hasPart, River Went]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Went
Context triple: [Humber drainage basin, hasPart, River Went]
  • A. River Went chosen
    River Went is a small river in West Yorkshire, England, that flows through rural landscapes and villages before joining the River Don.
  • B. River Scar
    River Scar is a small tributary watercourse in Scotland that feeds into the River Nith within its wider river system.
  • C. The River
    "The River" is a 1993 crime novel by Gary Paulsen, serving as the sequel to his popular survival story "Hatchet," in which protagonist Brian Robeson returns to the wilderness to demonstrate his survival skills.
  • D. The River
    "The River" is a 1938 Broadway play by Patrick Hastings, remembered today largely for featuring American stage and film actress Anne Revere in a notable role.
  • E. The River
    The River is a play by British dramatist Jez Butterworth that blends mystery and lyrical dialogue in an intimate story set in a remote cabin by a river.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9c0c088190ba18b5c631bcc365 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:29 p.m.