Triple

T19528166
Position Surface form Disambiguated ID Type / Status
Subject Annweiler am Trifels E488586 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SÜW NE NERFINISHED

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: SÜW | Statement: [Annweiler am Trifels, vehicleRegistrationCode, SÜW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SÜW
Context triple: [Annweiler am Trifels, vehicleRegistrationCode, SÜW]
  • A. SÜW chosen
    SÜW is the vehicle registration code for the Südliche Weinstraße district in the German state of Rhineland-Palatinate.
  • B. SWU
    SWU is the commonly used abbreviation for Southwest University, a comprehensive higher education institution in China.
  • C. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363d43148190af25caaa57accf9b completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.