Triple

T21900730
Position Surface form Disambiguated ID Type / Status
Subject Pasching E540799 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LL 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: LL | Statement: [Pasching, vehicleRegistrationCode, LL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LL
Context triple: [Pasching, vehicleRegistrationCode, LL]
  • A. LL chosen
    LL is the German vehicle registration code assigned to the district of Landsberg am Lech in Bavaria.
  • B. LL
    LL is a UK postcode area covering parts of North Wales, including towns such as Colwyn Bay, Llandudno, and Bangor.
  • C. LLL
    LLL is a low-level, Lisp-like programming language used to write smart contracts that compile to Ethereum Virtual Machine bytecode.
  • D. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • E. LD
    LD is the vehicle registration code for the German town of Landau in der Pfalz in the state of Rhineland-Palatinate.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.