Triple

T23365488
Position Surface form Disambiguated ID Type / Status
Subject Tain Royal Academy E593305 entity
Predicate shortName P43 FINISHED
Object TRA
TRA is the abbreviated name commonly used for Tain Royal Academy, a secondary school located in Tain, Scotland.
 E1583122 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: [Tain Royal Academy, shortName, TRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRA
Context triple: [Tain Royal Academy, shortName, 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. 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.
  • E. 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.
  • 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: [Tain Royal Academy, shortName, TRA]
Generated description
TRA is the abbreviated name commonly used for Tain Royal Academy, a secondary school located in Tain, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRA
Target entity description: TRA is the abbreviated name commonly used for Tain Royal Academy, a secondary school located in Tain, Scotland.
  • 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. 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.
  • E. 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.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ab7fc481908b496ec9b543eddd completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd78f508190b3b83e4cc2625163 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c60473de0819096d3b4e35da16295 completed May 19, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60b52fe88190854803902df750c5 completed May 19, 2026, 1:08 p.m.
Created at: April 17, 2026, 5:31 p.m.