Triple

T3904519
Position Surface form Disambiguated ID Type / Status
Subject Northern Iowa Panthers football E90572 entity
Predicate teamAbbreviation P43 FINISHED
Object UNI E326899 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: UNI | Statement: [Northern Iowa Panthers football, teamAbbreviation, UNI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNI
Context triple: [Northern Iowa Panthers football, teamAbbreviation, UNI]
  • A. UNI chosen
    UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
  • B. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • C. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • D. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • E. Universia
    Universia is an Ibero-American university network and online platform that connects higher education institutions across Spanish- and Portuguese-speaking countries to promote collaboration, academic resources, and educational services.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed0fb9888190add847806555a14a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca9d32881908538065ee71b31c2 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.