Triple

T8017618
Position Surface form Disambiguated ID Type / Status
Subject French River delta E186657 entity
Predicate supportsSpecies P2036 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: [French River delta, supportsSpecies, northern pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern pike
Context triple: [French River delta, supportsSpecies, 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c213ec8190b3bd96c42d1357e4 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.