Triple

T10858078
Position Surface form Disambiguated ID Type / Status
Subject Willesden Junction station E256320 entity
Predicate hasStationCode P1289 FINISHED
Object WIJ
WIJ is the National Rail station code for Willesden Junction, a major interchange station in northwest London served by both Overground and mainline rail services.
 E888507 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: WIJ | Statement: [Willesden Junction station, hasStationCode, WIJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIJ
Context triple: [Willesden Junction station, hasStationCode, WIJ]
  • A. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. WID
    WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
  • E. Wiip
    Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
  • 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: WIJ
Triple: [Willesden Junction station, hasStationCode, WIJ]
Generated description
WIJ is the National Rail station code for Willesden Junction, a major interchange station in northwest London served by both Overground and mainline rail services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIJ
Target entity description: WIJ is the National Rail station code for Willesden Junction, a major interchange station in northwest London served by both Overground and mainline rail services.
  • A. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • B. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. WID
    WID is the National Rail station code assigned to Widnes railway station in Cheshire, England.
  • E. Wiip
    Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1a0a9188190be0e9677884f3e93 completed April 14, 2026, 9:29 p.m.
NEDg Description generation batch_69deb544eff88190b182e5d753b07df7 completed April 14, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69deb6973af481909b30489aaee94149 completed April 14, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:20 p.m.