Triple

T20231369
Position Surface form Disambiguated ID Type / Status
Subject Saimaan Pallo E495532 entity
Predicate hasAbbreviation P43 FINISHED
Object SaiPa 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: SaiPa | Statement: [Saimaan Pallo, hasAbbreviation, SaiPa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SaiPa
Context triple: [Saimaan Pallo, hasAbbreviation, SaiPa]
  • A. SaiPa chosen
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • B. Sa Pa
    Sa Pa is a mountainous town in northern Vietnam known for its terraced rice fields, ethnic minority communities, and trekking routes in the Hoàng Liên Son range.
  • C. Trongsa
    Trongsa is a historic town in central Bhutan known for its strategic location and its prominent dzong overlooking the Mangde Chhu valley.
  • D. Baoting Hlai
    Baoting Hlai is a variety of the Hlai language spoken by the Li (Hlai) people in Baoting County on Hainan Island, China.
  • E. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.