Triple

T19562997
Position Surface form Disambiguated ID Type / Status
Subject Lac Mistassini E489502 entity
Predicate hasFauna P950 FINISHED
Object northern pike 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: northern pike | Statement: [Lac Mistassini, hasFauna, northern pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern pike
Context triple: [Lac Mistassini, hasFauna, 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. Pomoxis nigromaculatus
    Pomoxis nigromaculatus is a North American freshwater sunfish species known for its speckled black-and-silver pattern and popularity among recreational anglers.
  • D. 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.
  • E. walleye
    Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f75b2d481909fa3f603fe6bd5bd completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.