Triple

T17703200
Position Surface form Disambiguated ID Type / Status
Subject WS postcode area E441360 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object WS1
WS1 is a UK postal district within the WS (Walsall) postcode area, covering part of the town of Walsall in the West Midlands.
 E1283324 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: WS1 | Statement: [WS postcode area, hasPostcodeDistrict, WS1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WS1
Context triple: [WS postcode area, hasPostcodeDistrict, WS1]
  • A. WSI
    WSI is the IATA airport code assigned to Western Sydney International Airport, a major new airport serving the Sydney region in New South Wales, Australia.
  • B. WST
    WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
  • C. WST
    WST is an organization dedicated to advancing the interdisciplinary study and development of the World Wide Web and its impact on society.
  • D. WSM
    WSM is the National Rail station code for Weston-super-Mare railway station in Somerset, England.
  • E. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • 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: WS1
Triple: [WS postcode area, hasPostcodeDistrict, WS1]
Generated description
WS1 is a UK postal district within the WS (Walsall) postcode area, covering part of the town of Walsall in the West Midlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WS1
Target entity description: WS1 is a UK postal district within the WS (Walsall) postcode area, covering part of the town of Walsall in the West Midlands.
  • A. WSI
    WSI is the IATA airport code assigned to Western Sydney International Airport, a major new airport serving the Sydney region in New South Wales, Australia.
  • B. WST
    WST is an organization dedicated to advancing the interdisciplinary study and development of the World Wide Web and its impact on society.
  • C. WST
    WST is the commonly used abbreviation for the World Snooker Tour, the professional circuit for elite snooker players worldwide.
  • D. WSM
    WSM is the National Rail station code for Weston-super-Mare railway station in Somerset, England.
  • E. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02301ef8488190a71d06780a4f6b29 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0230bd3388819084da9710cfbef59a completed May 11, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0231983fb8819080d22d038f97ae5d completed May 11, 2026, 7:44 p.m.
Created at: April 10, 2026, 10:05 a.m.