Triple

T2959076
Position Surface form Disambiguated ID Type / Status
Subject Kaseya Center E80001 entity
Predicate publicTransit P1288 FINISHED
Object Metromover E79311 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: Metromover | Statement: [Kaseya Center, publicTransit, Metromover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metromover
Context triple: [Kaseya Center, publicTransit, Metromover]
  • A. Metromover chosen
    Metromover is a free, automated people mover system in Miami that operates elevated trains to connect key areas of the city’s urban core.
  • B. Santiago Metro
    Santiago Metro is the rapid transit system serving Chile's capital, known as one of Latin America’s largest and most extensive urban rail networks.
  • C. Caracas Metro
    The Caracas Metro is the rapid transit system serving Venezuela's capital, providing high-capacity urban rail transportation across the metropolitan area.
  • D. TransMilenio bus rapid transit
    TransMilenio bus rapid transit is Bogotá’s high-capacity, bus-based mass transit system known for its dedicated lanes, large articulated buses, and station-based fare collection designed to improve urban mobility.
  • E. Valparaíso Metro
    Valparaíso Metro is a rapid transit and commuter rail system serving Chile’s coastal Valparaíso Region, connecting key cities and communities along the bay.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992c4c7c819084b5bef299255181 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108de7e3c81908b1fee310515e4c1 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:57 p.m.