Triple

T13114138
Position Surface form Disambiguated ID Type / Status
Subject Vorpommern-Greifswald E311048 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PW E300034 NE FINISHED

How this triple was built (2 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: PW | Statement: [Vorpommern-Greifswald, vehicleRegistrationCode, PW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PW
Context triple: [Vorpommern-Greifswald, vehicleRegistrationCode, PW]
  • A. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • B. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • C. PW chosen
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • D. PW
    PW is the abbreviated name for Price Waterhouse, a former major international accounting and professional services firm that later became part of PricewaterhouseCoopers (PwC).
  • E. PW
    PW is the abbreviation for "The Professional Web," a term typically referring to the ecosystem of standards, tools, and practices used to build and maintain modern, production-quality websites and web applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.