Triple

T15612382
Position Surface form Disambiguated ID Type / Status
Subject Taita-Taveta County E375328 entity
Predicate borderCounty P224 FINISHED
Object Kwale County E521798 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: Kwale County | Statement: [Taita-Taveta County, borderCounty, Kwale County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwale County
Context triple: [Taita-Taveta County, borderCounty, Kwale County]
  • A. Kwale County chosen
    Kwale County is an administrative region in southeastern Kenya along the Indian Ocean coast, known for its beaches, tourism, and proximity to the Tanzanian border.
  • B. Makueni County
    Makueni County is a semi-arid administrative region in southeastern Kenya known for its agriculture, water-scarcity challenges, and location along key transport and river basins.
  • C. Kisii County
    Kisii County is an administrative county in southwestern Kenya known for its fertile highlands, intensive agriculture, and vibrant Kisii (Abagusii) community.
  • D. Meru County
    Meru County is an administrative region in eastern Kenya known for its fertile highlands, agricultural production, and proximity to Mount Kenya.
  • E. Kajiado County
    Kajiado County is a largely semi-arid county in southern Kenya known for its Maasai communities, wildlife conservancies, and proximity to Nairobi and the Tanzania border.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d91f208190a11f0d208970145b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.