Triple
T8807598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flybondi |
E209572
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
BONDI
BONDI is the airline callsign used by Flybondi, a low-cost carrier based in Argentina.
|
E759439
|
NE FINISHED |
How this triple was built (4 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: BONDI | Statement: [Flybondi, callsign, BONDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BONDI Context triple: [Flybondi, callsign, BONDI]
-
A.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Bondi Blue
Bondi Blue is the iconic translucent blue-green color used on the original iMac G3 that became a symbol of late-1990s Apple design.
-
C.
Sabonis
Sabonis is a Lithuanian surname most famously associated with basketball players Arvydas Sabonis and his son Domantas Sabonis, both prominent international and NBA stars.
-
D.
Bedjond
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
-
E.
Bondi Beach
Bondi Beach is one of Australia’s most famous surf beaches, known for its golden sand, coastal walkways, and vibrant seaside culture in Sydney.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BONDI Triple: [Flybondi, callsign, BONDI]
Generated description
BONDI is the airline callsign used by Flybondi, a low-cost carrier based in Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BONDI Target entity description: BONDI is the airline callsign used by Flybondi, a low-cost carrier based in Argentina.
-
A.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Bondi Blue
Bondi Blue is the iconic translucent blue-green color used on the original iMac G3 that became a symbol of late-1990s Apple design.
-
C.
Sabonis
Sabonis is a Lithuanian surname most famously associated with basketball players Arvydas Sabonis and his son Domantas Sabonis, both prominent international and NBA stars.
-
D.
Bedjond
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
-
E.
Bondi Beach
Bondi Beach is one of Australia’s most famous surf beaches, known for its golden sand, coastal walkways, and vibrant seaside culture in Sydney.
- F. None of above. chosen
Provenance (5 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd2fadc81908b27e9296885af2b |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fa0e4308190bd01c2d107c8c02d |
completed | April 3, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69cf718a6f2c81908f8b8d08a1437749 |
completed | April 3, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7275fea08190b8999fb30663ff17 |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:45 p.m.