Triple

T11791837
Position Surface form Disambiguated ID Type / Status
Subject Dolwyddelan railway station E280405 entity
Predicate stationCode P1289 FINISHED
Object DWD
DWD is the three-letter National Rail station code for Dolwyddelan railway station in Wales.
 E946851 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: DWD | Statement: [Dolwyddelan railway station, stationCode, DWD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DWD
Context triple: [Dolwyddelan railway station, stationCode, DWD]
  • A. DDW
    DDW is the abbreviation for Dutch Design Week, a major annual design event held in Eindhoven, the Netherlands, showcasing innovative work from designers across disciplines.
  • B. WDH
    WDH is the IATA airport code for Hosea Kutako International Airport, the main international gateway serving Windhoek and Namibia.
  • C. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • D. DWA
    DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
  • E. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • 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: DWD
Triple: [Dolwyddelan railway station, stationCode, DWD]
Generated description
DWD is the three-letter National Rail station code for Dolwyddelan railway station in Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DWD
Target entity description: DWD is the three-letter National Rail station code for Dolwyddelan railway station in Wales.
  • A. DDW
    DDW is the abbreviation for Dutch Design Week, a major annual design event held in Eindhoven, the Netherlands, showcasing innovative work from designers across disciplines.
  • B. WDH
    WDH is the IATA airport code for Hosea Kutako International Airport, the main international gateway serving Windhoek and Namibia.
  • C. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • D. DWA
    DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
  • E. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.