Triple

T15860024
Position Surface form Disambiguated ID Type / Status
Subject SR 60 E384558 entity
Predicate passesThrough P225 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: [SR 60, passesThrough, Pomona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomona
Context triple: [SR 60, passesThrough, 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. Pomona
    Pomona is a small agricultural village in Belize known for its citrus farming and rural community life.
  • E. Pomona
    Pomona is an unincorporated community and census-designated place located within Galloway Township in Atlantic County, New Jersey.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555a1f008190bb3f03b0f35ed8a4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.