Triple

T10922459
Position Surface form Disambiguated ID Type / Status
Subject Fort Jesus E257981 entity
Predicate locatedIn P40 FINISHED
Object Old Town Mombasa E259634 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: Old Town Mombasa | Statement: [Fort Jesus, locatedIn, Old Town Mombasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town Mombasa
Context triple: [Fort Jesus, locatedIn, Old Town Mombasa]
  • A. Port of Mombasa
    The Port of Mombasa is Kenya’s largest and busiest seaport, serving as a key gateway for maritime trade in East and Central Africa.
  • B. Stone Town
    Stone Town is the historic old quarter of Zanzibar City, renowned for its labyrinthine streets, Swahili architecture, and rich blend of African, Arab, Indian, and European cultural influences.
  • C. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • D. Mombasa Island chosen
    Mombasa Island is a coastal island in southeastern Kenya that hosts much of the city of Mombasa, including its historic Old Town and key port facilities.
  • E. Zanzibar City
    Zanzibar City is the historic and administrative capital of Zanzibar, Tanzania, renowned for its UNESCO-listed Stone Town and rich Swahili, Arab, and colonial heritage.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e34455ea4c8190b6f2433f3f745b76 completed April 18, 2026, 8:44 a.m.
Created at: April 8, 2026, 9:22 p.m.