Triple

T15189794
Position Surface form Disambiguated ID Type / Status
Subject Omani Empire E362977 entity
Predicate hasPart P35 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: [Omani Empire, hasPart, Lamu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamu
Context triple: [Omani Empire, hasPart, 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. Port of Kismayo
    The Port of Kismayo is a key maritime hub on Somalia’s southern coast, serving as a major center for regional trade, fishing, and commercial shipping in the Horn of Africa.
  • C. Banadir
    Banadir is a coastal administrative region of Somalia that includes the nation’s capital, Mogadishu, and serves as a key political and economic center.
  • D. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • E. Dutse
    Dutse is a locality within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council on the outskirts of Abuja.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067beedc8190abc0a94c7a38f85e completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89797ac819090fb68bb5f2fad5c completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.