Triple

T16886369
Position Surface form Disambiguated ID Type / Status
Subject Igersheim E421550 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object TBB E413668 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: TBB | Statement: [Igersheim, vehicleRegistrationCode, TBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBB
Context triple: [Igersheim, 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. TIB
    TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • C. BBR
    BBR is the common abbreviation for Basketball-Reference.com, a comprehensive online database of basketball statistics and historical player and team information.
  • D. 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.
  • E. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.