Triple

T10153298
Position Surface form Disambiguated ID Type / Status
Subject Zippel Bay State Park E232703 entity
Predicate hasFishSpecies P7733 FINISHED
Object northern pike E222688 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: northern pike | Statement: [Zippel Bay State Park, hasFishSpecies, northern pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern pike
Context triple: [Zippel Bay State Park, hasFishSpecies, northern pike]
  • A. northern pike chosen
    The northern pike is a large, predatory freshwater fish known for its elongated body, sharp teeth, and ambush-hunting behavior in lakes and rivers across the Northern Hemisphere.
  • B. Walleye
    The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
  • C. Pike
    Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
  • D. walleye
    Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
  • E. Muskie
    Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.