Triple

T15665460
Position Surface form Disambiguated ID Type / Status
Subject Taiwan Railways Administration E377173 entity
Predicate abbreviation P43 FINISHED
Object TRA
TRA is the acronym for the Taiwan Railways Administration, the government agency that operates most of Taiwan’s conventional passenger and freight rail services.
 E1169941 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: TRA | Statement: [Taiwan Railways Administration, abbreviation, TRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRA
Context triple: [Taiwan Railways Administration, abbreviation, TRA]
  • A. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • B. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • C. TRA
    TRA is the National Rail station code assigned to Trafford Park railway station in Greater Manchester, England.
  • 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: TRA
Triple: [Taiwan Railways Administration, abbreviation, TRA]
Generated description
TRA is the acronym for the Taiwan Railways Administration, the government agency that operates most of Taiwan’s conventional passenger and freight rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRA
Target entity description: TRA is the acronym for the Taiwan Railways Administration, the government agency that operates most of Taiwan’s conventional passenger and freight rail services.
  • A. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • B. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • C. TRA
    TRA is the National Rail station code assigned to Trafford Park railway station in Greater Manchester, England.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.