Triple

T7130503
Position Surface form Disambiguated ID Type / Status
Subject Watlington railway station E166173 entity
Predicate stationCode P1289 FINISHED
Object WTG
WTG is the National Rail station code for Watlington railway station in Oxfordshire, England.
 E643297 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: WTG | Statement: [Watlington railway station, stationCode, WTG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTG
Context triple: [Watlington railway station, stationCode, WTG]
  • A. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • B. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • C. WGE
    WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • D. TGWU
    TGWU is the commonly used abbreviation for the Transport and General Workers' Union, once one of the largest and most influential trade unions in the United Kingdom.
  • E. WTS
    WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
  • 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: WTG
Triple: [Watlington railway station, stationCode, WTG]
Generated description
WTG is the National Rail station code for Watlington railway station in Oxfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTG
Target entity description: WTG is the National Rail station code for Watlington railway station in Oxfordshire, England.
  • A. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • B. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • C. WGE
    WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • D. TGWU
    TGWU is the commonly used abbreviation for the Transport and General Workers' Union, once one of the largest and most influential trade unions in the United Kingdom.
  • E. WTS
    WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66dc2388190bdec018f1cc6b20a completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33eea0481909f87e0813bc35b52 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:44 p.m.