Triple

T19720642
Position Surface form Disambiguated ID Type / Status
Subject Green Line (TRAX) E473597 entity
Predicate connectsWith P37 FINISHED
Object FrontRunner NE NERFINISHED

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: FrontRunner | Statement: [Green Line (TRAX), connectsWith, FrontRunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FrontRunner
Context triple: [Green Line (TRAX), connectsWith, FrontRunner]
  • A. FrontRunner chosen
    FrontRunner is a commuter rail service in Utah that runs along the Wasatch Front, connecting major cities from Ogden through Salt Lake City to Provo.
  • B. Runby
    Runby is a residential district within Upplands Väsby in Stockholm County, Sweden.
  • C. StreetRunner
    StreetRunner is an American hip-hop record producer known for his work with major artists such as Lil Wayne, including contributions to the album "I Am Not a Human Being."
  • D. Coin Runners
    Coin Runners is a Mario Kart battle mode where players race around arenas collecting and holding onto the most coins while avoiding opponents’ attacks.
  • E. SPRINTER
    SPRINTER is a light rail service in northern San Diego County, California, providing east–west transit between Oceanside and Escondido.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f483c481908c6b3114bf9c5934 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.