Triple

T11861620
Position Surface form Disambiguated ID Type / Status
Subject Between the Hedges E282171 entity
Predicate associatedAbbreviation P8075 FINISHED
Object UGA E14836 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: UGA | Statement: [Between the Hedges, associatedAbbreviation, UGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGA
Context triple: [Between the Hedges, associatedAbbreviation, UGA]
  • A. UGA
    UGA is the three-letter ISO 3166-1 alpha-3 country code assigned to Uganda.
  • B. Ga State
    Ga State is the traditional homeland and socio-political domain of the Ga people in and around Accra, Ghana.
  • C. University of Georgia chosen
    The University of Georgia is a major American public research university in Athens, Georgia, known for its strong academic programs and for administering the prestigious Peabody Awards in broadcasting and digital media.
  • D. GSU
    GSU is the commonly used abbreviation for Grambling State University's football program, the Grambling State Tigers.
  • E. GSU
    GSU is the commonly used abbreviation for the Graduate Students' Union, an organization representing the interests and welfare of graduate students at a university.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281844c048190b5476343113f2436 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.