Triple

T6782424
Position Surface form Disambiguated ID Type / Status
Subject Eastern Fleet E155715 entity
Predicate headquartersLocation P62 FINISHED
Object Kilindini, Mombasa E47207 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: Kilindini, Mombasa | Statement: [Eastern Fleet, headquartersLocation, Kilindini, Mombasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilindini, Mombasa
Context triple: [Eastern Fleet, headquartersLocation, Kilindini, Mombasa]
  • A. Mombasa chosen
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • B. Malindi
    Malindi is a historic coastal town in southeastern Kenya known for its beaches, Swahili culture, and role as a former trading port on the Indian Ocean.
  • C. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • D. Omuta
    Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
  • E. Mombasa County
    Mombasa County is a coastal administrative region of Kenya that encompasses the city of Mombasa and serves as a major hub for tourism, trade, and maritime activities along the Indian Ocean.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d5557881909614819deb335534 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.