Triple

T12116273
Position Surface form Disambiguated ID Type / Status
Subject Wandsworth Common railway station E288570 entity
Predicate hasStationCode P1289 FINISHED
Object WSW
WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
 E962940 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: WSW | Statement: [Wandsworth Common railway station, hasStationCode, WSW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSW
Context triple: [Wandsworth Common railway station, hasStationCode, WSW]
  • A. WSW
    WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
  • B. WSW
    WSW is a professional football club based in Western Sydney, Australia, competing in the A-League Men.
  • C. RSW
    RSW is the IATA airport code for Southwest Florida International Airport, a major commercial airport serving the Fort Myers and greater Southwest Florida region.
  • D. WSSS
    WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
  • 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: WSW
Triple: [Wandsworth Common railway station, hasStationCode, WSW]
Generated description
WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSW
Target entity description: WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
  • A. WSW
    WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
  • B. WSW
    WSW is a professional football club based in Western Sydney, Australia, competing in the A-League Men.
  • C. RSW
    RSW is the IATA airport code for Southwest Florida International Airport, a major commercial airport serving the Fort Myers and greater Southwest Florida region.
  • D. WSSS
    WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5fef775508190ab3be470821c5a50 completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.