Triple

T1791048
Position Surface form Disambiguated ID Type / Status
Subject Jomo Kenyatta International Airport E39495 entity
Predicate hubFor P423 FINISHED
Object Jambojet E162778 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: Jambojet | Statement: [Jomo Kenyatta International Airport, hubFor, Jambojet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jambojet
Context triple: [Jomo Kenyatta International Airport, hubFor, Jambojet]
  • A. Jambojet chosen
    Jambojet is a Kenyan low-cost airline that operates domestic and regional flights as a subsidiary of Kenya Airways.
  • B. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • C. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • D. Jimintō
    Jimintō is the dominant conservative political party in Japan, formally known as the Liberal Democratic Party.
  • E. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65392b2c81909bf4d619bd347f54 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d063d48190aef6796ee3957994 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.