Triple

T803725
Position Surface form Disambiguated ID Type / Status
Subject Dalgety Bay railway station E17185 entity
Predicate hasStationCode P1289 FINISHED
Object DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
 E95133 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: DAG | Statement: [Dalgety Bay railway station, hasStationCode, DAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAG
Context triple: [Dalgety Bay railway station, hasStationCode, DAG]
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. LisaGraph
    LisaGraph was a graphing and charting application included with Apple's Lisa computer, used to create visual data representations in the early graphical user interface environment.
  • C. DFA
    DFA is an online advertising management and ad-serving platform originally developed by DoubleClick and later integrated into Google's marketing and ad technology stack.
  • D. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • E. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • 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: DAG
Triple: [Dalgety Bay railway station, hasStationCode, DAG]
Generated description
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAG
Target entity description: DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
  • A. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • B. LisaGraph
    LisaGraph was a graphing and charting application included with Apple's Lisa computer, used to create visual data representations in the early graphical user interface environment.
  • C. DFA
    DFA is an online advertising management and ad-serving platform originally developed by DoubleClick and later integrated into Google's marketing and ad technology stack.
  • D. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • E. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabebff08190880e4876ff58bcfe completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a693cf5f348190868cdf3539274aeb completed March 3, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69a6d5bc74008190b94ef7ea63f39671 completed March 3, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:38 p.m.