Triple

T8947302
Position Surface form Disambiguated ID Type / Status
Subject The Gund E213251 entity
Predicate publicTransitAccess P1288 FINISHED
Object RTA Rail E210119 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: RTA Rail | Statement: [The Gund, publicTransitAccess, RTA Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTA Rail
Context triple: [The Gund, publicTransitAccess, RTA Rail]
  • A. RTA Rail chosen
    RTA Rail is the light and heavy rail transit system serving Cleveland and its surrounding areas, operated by the Greater Cleveland Regional Transit Authority.
  • B. RTD light rail
    RTD light rail is a regional light rail transit system serving the Denver metropolitan area in Colorado, operated by the Regional Transportation District.
  • C. SacRT Light Rail
    SacRT Light Rail is the electric light rail transit system serving Sacramento, California and its surrounding communities.
  • D. Bayside Trains
    Bayside Trains was a former suburban rail operator in Melbourne, Australia, responsible for running metropolitan train services before the network was restructured and rebranded.
  • E. CIT Rail
    CIT Rail is a railcar leasing and financing company that provides rail transportation equipment and related services to shippers and railroads.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:59 p.m.