Triple

T8877842
Position Surface form Disambiguated ID Type / Status
Subject Wibautstraat E211332 entity
Predicate hasStationCode P1289 FINISHED
Object WBT
WBT is the station code for Wibautstraat, a metro station in Amsterdam, Netherlands.
E764159 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: WBT | Statement: [Wibautstraat, hasStationCode, WBT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WBT
Context triple: [Wibautstraat, hasStationCode, WBT]
  • A. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • B. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • C. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • D. WMB
    WMB is the National Rail station code for Wembley Central railway station in northwest London, England.
  • E. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • 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: WBT
Triple: [Wibautstraat, hasStationCode, WBT]
Generated description
WBT is the station code for Wibautstraat, a metro station in Amsterdam, Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WBT
Target entity description: WBT is the station code for Wibautstraat, a metro station in Amsterdam, Netherlands.
  • A. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • B. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • C. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • D. WMB
    WMB is the National Rail station code for Wembley Central railway station in northwest London, England.
  • E. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61496870819097c55c73aca62aac completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabaf57b88190a71d5303767ab517 completed April 3, 2026, 11:59 a.m.
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:52 p.m.