Triple

T9506534
Position Surface form Disambiguated ID Type / Status
Subject Newburgh, Lancashire E229283 entity
Predicate hasPostcodeArea P920 FINISHED
Object WN
WN is a postcode area in North West England that covers parts of Wigan and surrounding towns.
 E803312 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: WN | Statement: [Newburgh, Lancashire, hasPostcodeArea, WN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WN
Context triple: [Newburgh, Lancashire, hasPostcodeArea, WN]
  • A. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • B. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • C. WM
    WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
  • D. WM
    WM is the vehicle registration code for the district of Weilheim-Schongau in Bavaria, Germany.
  • E. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • 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: WN
Triple: [Newburgh, Lancashire, hasPostcodeArea, WN]
Generated description
WN is a postcode area in North West England that covers parts of Wigan and surrounding towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WN
Target entity description: WN is a postcode area in North West England that covers parts of Wigan and surrounding towns.
  • A. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • B. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • C. WM
    WM is the vehicle registration code for the district of Weilheim-Schongau in Bavaria, Germany.
  • D. WM
    WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
  • E. WL
    WL is the station code for Lutherstadt Wittenberg railway station in Germany.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2494c081908579592fa0fee90b completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13ae45e4c8190a0ace0d511a3a3ef completed April 4, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69d13b4a7b808190badf83c88fb06b82 completed April 4, 2026, 4:24 p.m.
Created at: March 30, 2026, 7:57 p.m.