Triple

T4184223
Position Surface form Disambiguated ID Type / Status
Subject MacArthur Center E88270 entity
Predicate publicTransitSystem P1288 FINISHED
Object Tide Light Rail E92717 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: Tide Light Rail | Statement: [MacArthur Center, publicTransitSystem, Tide Light Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tide Light Rail
Context triple: [MacArthur Center, publicTransitSystem, Tide Light Rail]
  • A. The Tide light rail system chosen
    The Tide light rail system is an urban light rail transit network serving the city of Norfolk and surrounding areas in southeastern Virginia.
  • B. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • C. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • D. LYNX light rail system
    The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
  • E. SacRT Light Rail
    SacRT Light Rail is the electric light rail transit system serving Sacramento, California and its surrounding communities.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0321eee88190871c1d4bf44a5007 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a849cdac8190b12ac2a0e42c3b53 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:45 p.m.