Triple

T9985573
Position Surface form Disambiguated ID Type / Status
Subject RNP E196559 entity
Predicate containsPart P35 FINISHED
Object Town of Deep River E585728 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: Town of Deep River | Statement: [RNP, containsPart, Town of Deep River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Deep River
Context triple: [RNP, containsPart, Town of Deep River]
  • A. Town of Deep River chosen
    The Town of Deep River is a small Canadian community in eastern Ontario known for its location along the Ottawa River and its historical ties to the nearby Chalk River nuclear research facilities.
  • B. Town of Rockland
    The Town of Rockland is a small rural municipality in eastern Wisconsin known for its agricultural landscape and quiet residential character.
  • C. Town of Milford
    The Town of Milford is a small city in southern Delaware known for its historic downtown, arts community, and location along the Mispillion River.
  • D. Mattituck
    Mattituck is a small hamlet and wine-country community on the North Fork of Long Island in Suffolk County, New York.
  • E. Ithiel Town
    Ithiel Town was a prominent 19th-century American architect and engineer known for pioneering bridge designs and contributing to major public buildings in the United States.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257fe0e348190b55fbd38e21cff7c completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.