Triple

T21053993
Position Surface form Disambiguated ID Type / Status
Subject Taita Taveta E518661 entity
Predicate hasCapital P204 FINISHED
Object Voi NE NERFINISHED

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: Voi | Statement: [Taita Taveta, hasCapital, Voi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voi
Context triple: [Taita Taveta, hasCapital, Voi]
  • A. Voi chosen
    Voi is a town in southeastern Kenya that serves as a key gateway and service hub for visitors to Tsavo National Park.
  • B. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • C. Vitsa
    Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
  • D. Ogna
    Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
  • E. Ogna
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.