Triple

T3268073
Position Surface form Disambiguated ID Type / Status
Subject Hillsborough River E68574 entity
Predicate hasWildlife P965 FINISHED
Object largemouth bass E320010 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: largemouth bass | Statement: [Hillsborough River, hasWildlife, largemouth bass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: largemouth bass
Context triple: [Hillsborough River, hasWildlife, largemouth bass]
  • A. largemouth bass chosen
    The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
  • B. White bass
    The white bass is a North American freshwater game fish known for its schooling behavior, strong fighting ability, and popularity among anglers in lakes and rivers.
  • C. Muskie
    Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
  • D. Walleye
    The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
  • E. northern pike
    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.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcf9c6c819092f9c618b778b46d completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.