Triple

T10562064
Position Surface form Disambiguated ID Type / Status
Subject Transport Research Laboratory E249241 entity
Predicate abbreviation P43 FINISHED
Object TRL
TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
 E871551 NE FINISHED

How this triple was built (4 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: [Transport Research Laboratory, abbreviation, TRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRL
Context triple: [Transport Research Laboratory, abbreviation, TRL]
  • A. 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.
  • B. TRL
    TRL is the FAA location identifier for Terrell Municipal Airport in Terrell, Texas.
  • C. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • D. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TRL
Triple: [Transport Research Laboratory, abbreviation, TRL]
Generated description
TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRL
Target entity description: TRL is a UK-based transport research organization known for its work on road safety, infrastructure, and sustainable mobility solutions.
  • A. 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.
  • B. TRL
    TRL is the FAA location identifier for Terrell Municipal Airport in Terrell, Texas.
  • C. THR
    THR is the IATA airport code for Mehrabad International Airport, a major airport serving Tehran, Iran.
  • D. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • F. None of above. chosen

Provenance (5 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527212dd081908629d91ce08f96a0 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93491d2408190b5f54afddbb51ec4 completed April 10, 2026, 5:34 p.m.
NEDg Description generation batch_69d939111a648190b6797c4870f61796 completed April 10, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69d93dd9f8a0819092d647a765d62fcd completed April 10, 2026, 6:13 p.m.
Created at: April 6, 2026, 12:35 p.m.