Triple
T30481352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyadh Air |
E775595
|
entity |
| Predicate | fleetOrderOptions |
P170231
|
FINISHED |
| Object | 33 additional Boeing 787-9 aircraft |
—
|
LITERAL 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: 33 additional Boeing 787-9 aircraft | Statement: [Riyadh Air, fleetOrderOptions, 33 additional Boeing 787-9 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetOrderOptions Context triple: [Riyadh Air, fleetOrderOptions, 33 additional Boeing 787-9 aircraft]
-
A.
fleetOrder
Indicates an instruction or command issued to a fleet, specifying the action it should take or the behavior it should follow.
-
B.
militaryOrder
Indicates a formal directive or command issued within a military context from a superior authority to subordinates, requiring compliance.
-
C.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
-
D.
fleetConfiguration
Indicates how multiple vehicles or vessels are organized, arranged, or structured together as a coordinated fleet.
-
E.
fleetCommander
Indicates that one entity serves as the commanding officer or overall leader in charge of the operations and decisions of a fleet associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:12 p.m.