Triple

T4855895
Position Surface form Disambiguated ID Type / Status
Subject Tampere E108535 entity
Predicate hasSportsTeam P330 FINISHED
Object Tappara E427864 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: Tappara | Statement: [Tampere, hasSportsTeam, Tappara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tappara
Context triple: [Tampere, hasSportsTeam, 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. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • C. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • D. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • E. Ratoma
    Ratoma is a major urban district of Conakry, the capital city of Guinea.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3df75c8190830e2c927cc5a4f8 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce7385c8190897fd2343c0ebeed completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.