Triple

T13423024
Position Surface form Disambiguated ID Type / Status
Subject Metromover Museum Park station E313404 entity
Predicate line P1293 FINISHED
Object Omni Loop E312103 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: Omni Loop | Statement: [Metromover Museum Park station, line, Omni Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omni Loop
Context triple: [Metromover Museum Park station, line, Omni Loop]
  • A. Omni Loop chosen
    Omni Loop is one of the downtown Miami Metromover’s automated people-mover loops that circulates through the Omni district and nearby areas.
  • B. Euroloop
    Euroloop is a trackside transmission system used in the European Train Control System to continuously send data to passing trains and enhance signaling reliability and safety.
  • C. A Loop
    A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
  • D. Loopt
    Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
  • E. Omni
    Omni is a short book in the Book of Mormon that continues the historical and spiritual record of the Nephite people through a series of brief entries by multiple authors.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308493e481909da52f8bbcc0bd6b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.