Triple

T10831015
Position Surface form Disambiguated ID Type / Status
Subject Winchester railway station E255617 entity
Predicate hasStationCode P1289 FINISHED
Object WIN
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
E886996 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: WIN | Statement: [Winchester railway station, hasStationCode, WIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIN
Context triple: [Winchester railway station, hasStationCode, WIN]
  • A. WIN
    WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
  • B. WIN
    WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
  • C. Win
    "Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
  • D. WINS
    WINS is a New York City all-news AM radio station known for its continuous news coverage and the slogan "You give us 22 minutes, we'll give you the world."
  • E. won
    The won is the official currency used in both North and South Korea, each with its own distinct version.
  • 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: WIN
Triple: [Winchester railway station, hasStationCode, WIN]
Generated description
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIN
Target entity description: WIN is the National Rail station code for Winchester railway station in Hampshire, England.
  • A. WIN
    WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
  • B. WIN
    WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
  • C. Win
    "Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
  • D. WINS
    WINS is a New York City all-news AM radio station known for its continuous news coverage and the slogan "You give us 22 minutes, we'll give you the world."
  • E. won
    The won is the official currency used in both North and South Korea, each with its own distinct version.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d744222288819093258b452569acab completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85a068b08190948c3ca32cdda147 completed April 14, 2026, 6:21 p.m.
NEDg Description generation batch_69de8956d9f081909d076c5e413c1f74 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:19 p.m.