Triple

T7934815
Position Surface form Disambiguated ID Type / Status
Subject IKE E184261 entity
Predicate abbreviation P43 FINISHED
Object IKE E184261 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: IKE | Statement: [IKE, abbreviation, IKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKE
Context triple: [IKE, abbreviation, IKE]
  • A. IKE chosen
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • B. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • C. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. IKAR
    IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aec394081909a9569c02ac372af completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0791e48190af18299c22f6a804 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.