Triple
T31724621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bombardier Global 7500 |
E809677
|
entity |
| Predicate | avionicsSuite |
P7133
|
FINISHED |
| Object |
Bombardier Vision flight deck
The Bombardier Vision flight deck is an advanced integrated avionics cockpit designed by Bombardier for its long-range business jets, featuring large displays, enhanced situational awareness tools, and modern flight management systems.
|
E1974912
|
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: Bombardier Vision flight deck | Statement: [Bombardier Global 7500, avionicsSuite, Bombardier Vision flight deck]
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: Bombardier Vision flight deck Triple: [Bombardier Global 7500, avionicsSuite, Bombardier Vision flight deck]
Generated description
The Bombardier Vision flight deck is an advanced integrated avionics cockpit designed by Bombardier for its long-range business jets, featuring large displays, enhanced situational awareness tools, and modern flight management systems.
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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aafaf65c8190a39e18111e02622a |
completed | May 3, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b9473e37481909526e2c715b5196b |
completed | June 12, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_6a2b952e894c8190bdf7b9908acbcb18 |
completed | June 12, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b9599e34c81908b96cf67fd3a9760 |
completed | June 12, 2026, 5:14 a.m. |
Created at: April 30, 2026, 11:19 p.m.