Triple

T9242465
Position Surface form Disambiguated ID Type / Status
Subject Troon railway station E222096 entity
Predicate hasStationCode P1289 FINISHED
Object TRN
TRN is the National Rail station code for Troon railway station in South Ayrshire, Scotland.
 E361833 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: TRN | Statement: [Troon railway station, hasStationCode, TRN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRN
Context triple: [Troon railway station, hasStationCode, TRN]
  • A. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • B. TRNC
    TRNC is the commonly used abbreviation for the Turkish Republic of Northern Cyprus, a self-declared state on the northern part of the island of Cyprus recognized only by Turkey.
  • C. 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.
  • D. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • E. TR
    TR is the postcode area covering Truro and much of Cornwall in southwest England.
  • 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: TRN
Triple: [Troon railway station, hasStationCode, TRN]
Generated description
TRN is the National Rail station code for Troon railway station in South Ayrshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TRN
Target entity description: TRN is the National Rail station code for Troon railway station in South Ayrshire, Scotland.
  • A. TRN chosen
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • B. TRNC
    TRNC is the commonly used abbreviation for the Turkish Republic of Northern Cyprus, a self-declared state on the northern part of the island of Cyprus recognized only by Turkey.
  • C. 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.
  • D. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • E. TR
    TR is the postcode area covering Truro and much of Cornwall in southwest England.
  • F. None of above.

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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ec23ec8190993003a826372d40 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077e1ea448190a64a0371a412d314 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07be9c2ec8190aa734d8ffbaf5c6d completed April 4, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d07c725a0c8190bf905461a38ef65e completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:30 p.m.