Triple

T14264520
Position Surface form Disambiguated ID Type / Status
Subject Chilevisión E353609 entity
Predicate formerName P65 FINISHED
Object RTU E353609 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: RTU | Statement: [Chilevisión, formerName, RTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTU
Context triple: [Chilevisión, formerName, RTU]
  • A. RTU chosen
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • B. RTK
    RTK is a high-precision satellite navigation technique that uses carrier-phase measurements and correction data from a reference station to provide centimeter-level positioning accuracy in real time.
  • C. RUT
    RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
  • D. RUT
    RUT is the FAA airport code for Rutland–Southern Vermont Regional Airport, a public airport serving the Rutland region of Vermont.
  • E. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.