Triple

T7929150
Position Surface form Disambiguated ID Type / Status
Subject Route 100 E184141 entity
Predicate routeNumberStatus P78582 FINISHED
Object retired designation LITERAL 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: retired designation | Statement: [Route 100, routeNumberStatus, retired designation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: routeNumberStatus
Context triple: [Route 100, routeNumberStatus, retired designation]
  • A. routeNumber
    Indicates the specific identifying number assigned to a route within a transportation or delivery network.
  • B. hasRoadNumberStatus chosen
    Indicates that a road or route is associated with a specific status regarding its assigned road number (e.g., active, reserved, retired, or provisional).
  • C. railStatus
    Indicates the current operational condition or state of a rail-related entity (such as a track, line, or service) within the system.
  • D. roadServed
    Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
  • E. publicTransportStatus
    Indicates the current operational condition or availability of a public transportation service or route.
  • F. None of above.

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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3ac9ac4c819082cd2190fc3ce5a2 completed March 31, 2026, 3:08 a.m.
PD Predicate disambiguation batch_69cae9335f288190ba96781fd6576a2b completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:07 p.m.