Triple
T14543284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonza |
E341223
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | BONZA |
E341223
|
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: BONZA | Statement: [Bonza, callsign, BONZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BONZA Context triple: [Bonza, callsign, BONZA]
-
A.
Bonza
chosen
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
-
B.
Del Bonita
Del Bonita is a small rural community in southern Alberta, Canada, located near the Canada–United States border.
-
C.
Bozeat
Bozeat is a rural village and civil parish in Northamptonshire, England, known for its historic church and traditional English countryside setting.
-
D.
Bona
Bona is a Latin-derived term meaning "good" that appears in various historical and linguistic contexts, including place names and legal or philosophical expressions.
-
E.
Bona
Bona, historically known as Hippo Regius and now Annaba in modern Algeria, is a Mediterranean coastal city that served as a key commercial and strategic port in North Africa.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5eb85c8190a0c1696b63ddf8e1 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.