Triple

T7527062
Position Surface form Disambiguated ID Type / Status
Subject Metrolink San Bernardino Line E177919 entity
Predicate connects P390 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: [Metrolink San Bernardino Line, connects, Pomona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomona
Context triple: [Metrolink San Bernardino Line, connects, 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81cc5748190818443c48c9e3114 completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84639c19881909e1736afc01a020d completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:47 p.m.