Triple

T3958534
Position Surface form Disambiguated ID Type / Status
Subject Warrington Bank Quay railway station E85840 entity
Predicate stationCode P1289 FINISHED
Object WBQ
WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
 E402105 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: WBQ | Statement: [Warrington Bank Quay railway station, stationCode, WBQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WBQ
Context triple: [Warrington Bank Quay railway station, stationCode, WBQ]
  • A. WQD
    WQD is the commonly used abbreviation for World Quaker Day, an annual event celebrating the global Quaker community.
  • B. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • C. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • D. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • E. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • 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: WBQ
Triple: [Warrington Bank Quay railway station, stationCode, WBQ]
Generated description
WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WBQ
Target entity description: WBQ is the three-letter National Rail station code for Warrington Bank Quay railway station in Cheshire, England.
  • A. WQD
    WQD is the commonly used abbreviation for World Quaker Day, an annual event celebrating the global Quaker community.
  • B. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • C. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • D. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • E. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95d47a88190a374ea92dd0ab0b8 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b57ad08190972d385a133c73b8 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b534b3596c819088812b5835512c05 completed March 14, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69b5354ce29481909af8f0a216c3e643 completed March 14, 2026, 10:15 a.m.
Created at: March 9, 2026, 3:31 p.m.