Triple
T14845349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikenibeu |
E349070
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Bonriki |
E349071
|
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: Bonriki | Statement: [Bikenibeu, hasNearbySettlement, Bonriki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonriki Context triple: [Bikenibeu, hasNearbySettlement, Bonriki]
-
A.
Bonriki
chosen
Bonriki is a settlement on Tarawa Atoll in Kiribati, notable for hosting the country’s main international airport.
-
B.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
C.
Buariki
Buariki is a village on the atoll of Aranuka in the island nation of Kiribati.
-
D.
Buariki
Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
-
E.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65010190819083ec051eb5d82839 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.