Triple

T15529627
Position Surface form Disambiguated ID Type / Status
Subject Lake Palestine E370176 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: [Lake Palestine, hasWildlife, largemouth bass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: largemouth bass
Context triple: [Lake Palestine, 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. Campostoma
    Campostoma is a genus of small freshwater minnows commonly known as stonerollers, native to streams and rivers of North America.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.