Triple

T6693726
Position Surface form Disambiguated ID Type / Status
Subject Whifflet railway station E152691 entity
Predicate stationCode P1289 FINISHED
Object WFF
WFF is the National Rail station code for Whifflet railway station in North Lanarkshire, Scotland.
 E611731 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: WFF | Statement: [Whifflet railway station, stationCode, WFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WFF
Context triple: [Whifflet railway station, stationCode, WFF]
  • A. WFF
    WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
  • B. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • C. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • D. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • E. WW
    WW is the reporting mark used by the Winchester and Western Railroad, a shortline freight railroad operating primarily in the Mid-Atlantic region of the United States.
  • 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: WFF
Triple: [Whifflet railway station, stationCode, WFF]
Generated description
WFF is the National Rail station code for Whifflet railway station in North Lanarkshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WFF
Target entity description: WFF is the National Rail station code for Whifflet railway station in North Lanarkshire, Scotland.
  • A. WFF
    WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
  • B. WF
    WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
  • C. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • D. WW
    WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
  • E. WW
    WW is the reporting mark used by the Winchester and Western Railroad, a shortline freight railroad operating primarily in the Mid-Atlantic region of the United States.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b97210819086e88624c476fa24 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8955748819092b0e51cff6cab69 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:05 p.m.