Triple
T15612352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taita-Taveta County |
E375328
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Voi |
E320476
|
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: Voi | Statement: [Taita-Taveta County, hasMajorTown, Voi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voi Context triple: [Taita-Taveta County, hasMajorTown, 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 river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
E.
Veleti
The Veleti were a confederation of early medieval West Slavic tribes inhabiting the southern Baltic coast, known for their resistance to neighboring powers such as the early Polish state and the Holy Roman Empire.
- 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_69ff5f3913908190acdd7da62b4f521d |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.