Triple
T18863562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Kiribati |
E461374
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Bonriki |
—
|
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: Bonriki | Statement: [Air Kiribati, headquartersLocation, Bonriki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonriki Context triple: [Air Kiribati, headquartersLocation, 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.
Sanniki
Sanniki is a village in central Poland known for its historical connections to notable Polish figures and its traditional Mazovian rural character.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a304d4819092f14b7932d01afe |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.