Triple

T21383634
Position Surface form Disambiguated ID Type / Status
Subject Weikersheim E527429 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object TBB 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: TBB | Statement: [Weikersheim, vehicleRegistrationCode, TBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBB
Context triple: [Weikersheim, vehicleRegistrationCode, TBB]
  • A. TBB chosen
    TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
  • B. BTTB
    BTTB is an abbreviation commonly used to refer to BTCL, likely representing a shortened or symbolic form of the organization's name.
  • C. TIB
    TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • D. BBR
    BBR is the common abbreviation for Basketball-Reference.com, a comprehensive online database of basketball statistics and historical player and team information.
  • E. TBIT
    TBIT is the commonly used abbreviation for the Tom Bradley International Terminal at Los Angeles International Airport, a major hub for international air travel.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.