Triple
T3655594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockhampton Airport |
E77520
|
entity |
| Predicate | airlineServed |
P12356
|
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: [Rockhampton Airport, airlineServed, Bonza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonza Context triple: [Rockhampton Airport, airlineServed, Bonza]
-
A.
Bonza
chosen
Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
-
B.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
C.
Solitaire
Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
-
D.
Solitaire
Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
-
E.
Manziana
Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3baf57c8190b72b5d1b910d9db6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4883dc5408190a6e7e110acf03a15 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.