Triple

T16936692
Position Surface form Disambiguated ID Type / Status
Subject TRY E410846 entity
Predicate replaced P101 FINISHED
Object TRL unclear NED1 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: TRL | Statement: [TRY, replaced, TRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRL
Context triple: [TRY, replaced, TRL]
  • A. TRL
    TRL is the station code for Turrella railway station, a suburban train stop in Sydney, New South Wales, Australia.
  • B. TRL
    TRL is a popular abbreviation for "Total Request Live," a former MTV music video countdown show that became a major pop culture phenomenon in the late 1990s and early 2000s.
  • C. TRL
    TRL is the FAA location identifier for Terrell Municipal Airport in Terrell, Texas.
  • D. TRL
    TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
  • E. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2adf448190ab0dbebb3addbd80 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe5210c8190873be6ccf2369b34 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.