Triple

T17567936
Position Surface form Disambiguated ID Type / Status
Subject Tappara E427864 entity
Predicate reorganizedAs P1504 FINISHED
Object Tappara 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: Tappara | Statement: [Tappara, reorganizedAs, Tappara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tappara
Context triple: [Tappara, reorganizedAs, Tappara]
  • A. Tappara chosen
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • B. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • C. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • D. Lilliwaup
    Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
  • E. Tutaminis
    Tutaminis is a Force ability in the Star Wars universe that allows a user to absorb, dissipate, or redirect incoming energy attacks, including Force lightning.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.