Triple

T6590118
Position Surface form Disambiguated ID Type / Status
Subject Greifswald E159331 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HGW
HGW is the vehicle registration code used on license plates for the city of Greifswald in northeastern Germany.
E603428 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: HGW | Statement: [Greifswald, vehicleRegistrationCode, HGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HGW
Context triple: [Greifswald, vehicleRegistrationCode, HGW]
  • A. WGW
    WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
  • B. HGS
    HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • E. GWA
    GWA is the public utility agency responsible for providing water and wastewater services across the island of Guam.
  • 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: HGW
Triple: [Greifswald, vehicleRegistrationCode, HGW]
Generated description
HGW is the vehicle registration code used on license plates for the city of Greifswald in northeastern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HGW
Target entity description: HGW is the vehicle registration code used on license plates for the city of Greifswald in northeastern Germany.
  • A. WGW
    WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
  • B. HGS
    HGS is the National Rail station code assigned to Hastings railway station in East Sussex, England.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. GWW
    GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
  • E. GWA
    GWA is the public utility agency responsible for providing water and wastewater services across the island of Guam.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeb201e88190808cf5779349f96c completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d57bde388190919ff6820e1b9610 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d6adc8c88190aa4ed066a2c99657 completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.