Triple

T8867992
Position Surface form Disambiguated ID Type / Status
Subject North Chuck E211067 entity
Predicate hasForm P169 FINISHED
Object North Chuck E211067 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: North Chuck | Statement: [North Chuck, hasForm, North Chuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Chuck
Context triple: [North Chuck, hasForm, North Chuck]
  • A. North Chuck chosen
    North Chuck is a colloquial nickname for the city of North Charleston in South Carolina.
  • B. South Fork
    South Fork is the easternmost peninsula of Long Island, New York, known for its affluent Hamptons communities and popular Atlantic Ocean beaches.
  • C. Skunk Creek
    Skunk Creek is a smaller stream in the north-central United States that serves as a tributary feeding into the Big Sioux River.
  • D. Drift Creek
    Drift Creek is a river in Lincoln County, Oregon, known for flowing through coastal forest landscapes and supporting local recreation and wildlife habitats.
  • E. Levi Creek
    Levi Creek is a small watercourse in Ontario, Canada, that serves as one of the tributary streams feeding into the Credit River watershed.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0dafdf48190abc1fe1a8397e339 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.