Triple

T3745923
Position Surface form Disambiguated ID Type / Status
Subject Metro Micro E81210 entity
Predicate partOf P40 FINISHED
Object Metro transit system E80988 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: Metro transit system | Statement: [Metro Micro, partOf, Metro transit system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro transit system
Context triple: [Metro Micro, partOf, Metro transit system]
  • A. Metropolitan Transit System chosen
    The Metropolitan Transit System is the primary public transportation agency serving the San Diego region, operating buses, trolleys, and related transit services.
  • B. Loop transportation system
    The Loop transportation system is The Boring Company’s proposed network of underground tunnels using autonomous electric vehicles to move passengers rapidly and bypass surface traffic congestion.
  • C. Sistema de Transporte Colectivo
    Sistema de Transporte Colectivo is the public agency responsible for operating and managing the Mexico City Metro system.
  • D. StarMetro public transit system
    StarMetro public transit system is the city-operated bus and paratransit network serving residents, students, and visitors throughout Tallahassee, Florida.
  • E. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb680ddc819094205beb342699f9 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.