Triple
T4990059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabiteuea |
E112107
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Buota |
E350637
|
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: Buota | Statement: [Tabiteuea, hasSettlement, Buota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buota Context triple: [Tabiteuea, hasSettlement, Buota]
-
A.
Buota
chosen
Buota is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
B.
Baflo
Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
-
C.
Bulzi
Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
-
D.
Borobi
Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
-
E.
Boari
Boari is an Italian surname most notably associated with Adamo Boari, an architect known for designing prominent buildings in Mexico such as the Palacio de Bellas Artes.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727fe55881909d42e41b832b9ece |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a282dd08190a29b92e8e825a3bb |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.