Triple

T12487145
Position Surface form Disambiguated ID Type / Status
Subject Wimbledon station E298463 entity
Predicate railCode P18202 FINISHED
Object WIM
WIM is the National Rail station code for Wimbledon railway station in southwest London.
E983475 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: WIM | Statement: [Wimbledon station, railCode, WIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIM
Context triple: [Wimbledon station, railCode, WIM]
  • A. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • C. WIM PW
    WIM PW is the commonly used abbreviation for the Faculty of Materials Science and Engineering at the Warsaw University of Technology, a leading Polish center for education and research in materials engineering.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • 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: WIM
Triple: [Wimbledon station, railCode, WIM]
Generated description
WIM is the National Rail station code for Wimbledon railway station in southwest London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIM
Target entity description: WIM is the National Rail station code for Wimbledon railway station in southwest London.
  • A. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • C. WIM PW
    WIM PW is the commonly used abbreviation for the Faculty of Materials Science and Engineering at the Warsaw University of Technology, a leading Polish center for education and research in materials engineering.
  • D. WIL
    WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
  • E. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2b5ed481909ead4f5b96d44064 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6401199408190ad2657802afd93c9 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.