Triple

T18734111
Position Surface form Disambiguated ID Type / Status
Subject Petitcodiac River E458115 entity
Predicate hasNickname P39 FINISHED
Object Chocolate River NE NERFINISHED

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: Chocolate River | Statement: [Petitcodiac River, hasNickname, Chocolate River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolate River
Context triple: [Petitcodiac River, hasNickname, Chocolate River]
  • A. Chocolate River chosen
    Chocolate River is the fantastical flowing river of liquid chocolate inside Willy Wonka’s magical candy factory in Roald Dahl’s story.
  • B. River Chater
    The River Chater is a small rural river in the East Midlands of England that flows through the county of Rutland before joining the River Welland.
  • C. River Roch
    The River Roch is a waterway in Greater Manchester, England, that flows through the town of Rochdale and has historically supported its local industry and settlement.
  • D. River Cher
    The River Cher is a tributary of the Loire in central France, known for flowing beneath the iconic Château de Chenonceau.
  • E. Bei River
    The Bei River is one of the principal tributaries of southern China’s Pearl River system, flowing through Guangdong province and helping drain the Pearl River Delta region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7a06788190a8e09c657aaeb8e5 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.