Triple

T10076240
Position Surface form Disambiguated ID Type / Status
Subject Stadt Fürth E213765 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object E14681 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: FÜ | Statement: [Stadt Fürth, vehicleRegistrationCode, FÜ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FÜ
Context triple: [Stadt Fürth, vehicleRegistrationCode, FÜ]
  • A. chosen
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. FÜS
    FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of Bavaria, Germany.
  • C. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • D. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • E. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.