Triple

T13111179
Position Surface form Disambiguated ID Type / Status
Subject British Western Desert Force E310972 entity
Predicate nickname P55 FINISHED
Object WDF
WDF is the abbreviation for the British Western Desert Force, a World War II field army formation that fought in the North African campaign.
 E1023102 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: WDF | Statement: [British Western Desert Force, nickname, WDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WDF
Context triple: [British Western Desert Force, nickname, WDF]
  • A. WDS
    WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
  • B. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • D. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • E. Wda
    Wda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic, forested course and popularity for kayaking and canoeing.
  • 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: WDF
Triple: [British Western Desert Force, nickname, WDF]
Generated description
WDF is the abbreviation for the British Western Desert Force, a World War II field army formation that fought in the North African campaign.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WDF
Target entity description: WDF is the abbreviation for the British Western Desert Force, a World War II field army formation that fought in the North African campaign.
  • A. WDS
    WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
  • B. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. WD
    WD is the National Rail station code for Woodside railway station in London, England.
  • D. WD
    WD is a UK postcode area covering parts of southwest Hertfordshire and northwest Greater London, including towns such as Watford.
  • E. Wda
    Wda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic, forested course and popularity for kayaking and canoeing.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e4c5e2888190b0bfcdf2cc25ad5f completed May 3, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5979df881909db42a735b9b1064 completed May 3, 2026, 6:05 a.m.
Created at: April 9, 2026, 9:05 p.m.