Triple

T10546807
Position Surface form Disambiguated ID Type / Status
Subject Akita Prefecture E248838 entity
Predicate hasBird P29974 FINISHED
Object Kumagera (black woodpecker) E539195 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: Kumagera (black woodpecker) | Statement: [Akita Prefecture, hasBird, Kumagera (black woodpecker)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumagera (black woodpecker)
Context triple: [Akita Prefecture, hasBird, Kumagera (black woodpecker)]
  • A. Akahige
    Akahige is the Japanese name for the Japanese robin, a small passerine bird native to East Asia known for its bright orange-red face and breast.
  • B. Woodpecker
    "Woodpecker" is an independent film directed by Alex Karpovsky, known for its offbeat, character-driven storytelling and quirky comedic tone.
  • C. Toyama Grouses
    Toyama Grouses is a professional basketball team based in Toyama, Japan, competing in the country’s top-tier leagues.
  • D. black woodpecker chosen
    The black woodpecker is a large, mostly black forest-dwelling woodpecker native to Eurasia, known for its powerful drumming and distinctive red crown.
  • E. Picus
    Picus is a figure from Roman mythology, a handsome king and hunter who was transformed into a woodpecker by the sorceress Circe.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9344a53fc81909765061d07d0cd20 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:33 p.m.