Triple

T8202398
Position Surface form Disambiguated ID Type / Status
Subject Shiyan Wudangshan Airport E191609 entity
Predicate hasIATACode P2569 FINISHED
Object WDS
WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
 E718707 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: WDS | Statement: [Shiyan Wudangshan Airport, hasIATACode, WDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WDS
Context triple: [Shiyan Wudangshan Airport, hasIATACode, WDS]
  • A. 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.
  • 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. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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: WDS
Triple: [Shiyan Wudangshan Airport, hasIATACode, WDS]
Generated description
WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WDS
Target entity description: WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
  • A. 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.
  • 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. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedc49ba4819099762f200c4e6577 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b818588190936f96d53bf08c2b completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05ac594c819087d23a7318fd7704 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:43 p.m.