Triple

T19391606
Position Surface form Disambiguated ID Type / Status
Subject Ostalbkreis E485080 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GD 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: GD | Statement: [Ostalbkreis, vehicleRegistrationCode, GD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GD
Context triple: [Ostalbkreis, vehicleRegistrationCode, GD]
  • A. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • B. GD
    GD is the abbreviation for Giovani Democratici, the youth wing of Italy’s Democratic Party that engages young people in progressive politics.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • E. GD chosen
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b45caec81909dafdf66b361effd completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.