Triple

T3703768
Position Surface form Disambiguated ID Type / Status
Subject Washington State Cougars E80841 entity
Predicate usesAbbreviation P43 FINISHED
Object WSU E42260 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: WSU | Statement: [Washington State Cougars, usesAbbreviation, WSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSU
Context triple: [Washington State Cougars, usesAbbreviation, WSU]
  • A. Washington State University chosen
    Washington State University is a public land-grant research university in Pullman, Washington, known for its strong programs in agriculture, engineering, and veterinary medicine and its Cougars athletic teams.
  • B. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • C. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • D. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • E. MSU
    MSU is the commonly used abbreviation for Lomonosov Moscow State University, one of Russia’s oldest and most prestigious universities.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54aaac88190b775dba2513b6d4a completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf822348190bf95f7d119c6265a completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.