Triple

T9347943
Position Surface form Disambiguated ID Type / Status
Subject College of Business Administration (Cal Poly Pomona) E224939 entity
Predicate city P40 FINISHED
Object Pomona E104588 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: Pomona | Statement: [College of Business Administration (Cal Poly Pomona), city, Pomona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomona
Context triple: [College of Business Administration (Cal Poly Pomona), city, Pomona]
  • A. Pomona
    Pomona is a rural town in Queensland, Australia, known for its heritage architecture and proximity to the Noosa hinterland.
  • B. Pomona chosen
    Pomona is a city in eastern Los Angeles County, California, known for hosting the LA County Fair and for its historic downtown and arts district.
  • C. Pomona
    Pomona is an ancient Maya archaeological site in the western lowlands of present-day Mexico, known for its sculpted monuments and inscriptions.
  • D. Pamona
    Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • E. Pomone
    Pomone is an opera by French composer Pierre Perrin, recognized as one of the earliest French operas and a foundational work in the development of the genre in France.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.