Triple

T10922553
Position Surface form Disambiguated ID Type / Status
Subject Swahili people E257982 entity
Predicate urbanCenters P44289 FINISHED
Object Lamu E504148 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: Lamu | Statement: [Swahili people, urbanCenters, Lamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamu
Context triple: [Swahili people, urbanCenters, Lamu]
  • A. Lamu chosen
    Lamu is a historic Swahili town on Kenya’s Indian Ocean coast, renowned for its well-preserved stone architecture, rich Islamic and Swahili cultural heritage, and status as a UNESCO World Heritage Site.
  • B. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • C. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • D. Kismayo
    Kismayo is a key port city in southern Somalia, strategically located on the Indian Ocean and serving as an important regional commercial and maritime hub.
  • E. Gulussa
    Gulussa was a 2nd-century BC Numidian prince and military leader, known as one of the sons of King Masinissa who played a role in the conflicts between Carthage and Rome.
  • 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_69e23bcee80481909a9ec8a03bc5266d completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.