Triple

T18839512
Position Surface form Disambiguated ID Type / Status
Subject Battle Creek watershed E460754 entity
Predicate contains P35 FINISHED
Object Battle Creek 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: Battle Creek | Statement: [Battle Creek watershed, contains, Battle Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battle Creek
Context triple: [Battle Creek watershed, contains, Battle Creek]
  • A. Battle Creek chosen
    Battle Creek is a stream in Maryland that flows through the Battle Creek Cypress Swamp Sanctuary, supporting its unique wetland ecosystem.
  • B. Battle Creek
    Battle Creek is a mid-sized city in south-central Michigan known historically for its cereal industry and as the headquarters of Kellogg Company.
  • C. Crystal Falls
    Crystal Falls is a scenic waterfall and popular natural swimming spot along the Jatbula Trail in Nitmiluk National Park, Northern Territory, Australia.
  • D. Oak Creek
    Oak Creek is a suburban city in Milwaukee County, Wisconsin, known for its residential communities, industrial parks, and proximity to Milwaukee and Lake Michigan.
  • E. Oak Creek
    Oak Creek is a scenic stream in northern Arizona known for flowing through the red rock canyons around Sedona and supporting popular recreation and wildlife habitats.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9a0a9a48190b19b131f06b6f72f completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.