Triple

T9254846
Position Surface form Disambiguated ID Type / Status
Subject Fishguard and Goodwick railway station E222414 entity
Predicate hasStationCode P1289 FINISHED
Object FGW
FGW is the National Rail station code for Fishguard and Goodwick railway station in Pembrokeshire, Wales.
 E788976 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: FGW | Statement: [Fishguard and Goodwick railway station, hasStationCode, FGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FGW
Context triple: [Fishguard and Goodwick railway station, hasStationCode, FGW]
  • A. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • B. FGZ
    FGZ is the FAA location identifier assigned to Sabre Army Heliport, a U.S. Army helicopter facility.
  • C. FGB
    FGB, better known as Zarya, is the first module of the International Space Station, providing initial power and propulsion functions.
  • D. FGN
    FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
  • E. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • 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: FGW
Triple: [Fishguard and Goodwick railway station, hasStationCode, FGW]
Generated description
FGW is the National Rail station code for Fishguard and Goodwick railway station in Pembrokeshire, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FGW
Target entity description: FGW is the National Rail station code for Fishguard and Goodwick railway station in Pembrokeshire, Wales.
  • A. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • B. FGZ
    FGZ is the FAA location identifier assigned to Sabre Army Heliport, a U.S. Army helicopter facility.
  • C. FGB
    FGB, better known as Zarya, is the first module of the International Space Station, providing initial power and propulsion functions.
  • D. FGN
    FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
  • E. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b1f6bc81908115e22652d0c85e completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bde36688190bf66669f585dcee7 completed April 4, 2026, 5:04 a.m.
NEDg Description generation batch_69d09d5047e8819082dbb2e44547b41c completed April 4, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69d09dec544c819095e2109d5e1671d3 completed April 4, 2026, 5:13 a.m.
Created at: March 30, 2026, 7:31 p.m.