Triple

T16824047
Position Surface form Disambiguated ID Type / Status
Subject Köthen E408967 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ABI E504806 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: ABI | Statement: [Köthen, vehicleRegistrationCode, ABI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABI
Context triple: [Köthen, vehicleRegistrationCode, ABI]
  • A. ABI chosen
    ABI is the vehicle registration code used on license plates for the German town of Bitterfeld-Wolfen.
  • B. ABI
    ABI is the three-letter IATA airport code for Abilene Regional Airport in Abilene, Texas.
  • C. APIIC
    APIIC is a government-owned corporation in Andhra Pradesh, India, responsible for developing industrial infrastructure and promoting industrial growth in the state.
  • D. AIBN
    AIBN (azobisisobutyronitrile) is a commonly used organic radical initiator that thermally decomposes to generate nitrogen gas and carbon-centered radicals for various free-radical reactions.
  • E. AIB
    AIB is a German vehicle registration code used for the district of Rosenheim in Bavaria.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b310ffec81908087e5aaacc4a7c2 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29c170c81908fcc88c31e266ffb completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.