Triple

T5138476
Position Surface form Disambiguated ID Type / Status
Subject SaiPa E115885 entity
Predicate league P888 FINISHED
Object Liiga E65764 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: Liiga | Statement: [SaiPa, league, Liiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liiga
Context triple: [SaiPa, league, Liiga]
  • A. SM-liiga chosen
    SM-liiga is the top professional ice hockey league in Finland, featuring the country’s premier teams and players.
  • B. Swedish Hockey League
    The Swedish Hockey League is Sweden's top professional ice hockey league and one of Europe's premier hockey competitions, known for developing many NHL-caliber players.
  • C. Superettan
    Superettan is the second-highest professional football league in Sweden, sitting directly below the Allsvenskan in the national league system.
  • D. Erovnuli Liga
    Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
  • E. Milli Lig
    Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.