Triple
T30481363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyadh Air |
E775595
|
entity |
| Predicate | targetNetworkSizeYear |
P193481
|
FINISHED |
| Object | 2030 |
—
|
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: 2030 | Statement: [Riyadh Air, targetNetworkSizeYear, 2030]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetNetworkSizeYear Context triple: [Riyadh Air, targetNetworkSizeYear, 2030]
-
A.
targetNetworkGeneration
Indicates that one entity is associated with, or operates within, a specific generation or version of a network.
-
B.
partOfNetworkSince
Indicates that an entity has been a member or component of a particular network starting from a specified point in time.
-
C.
networkTypeFounded
Indicates that a particular type of network was established or created at a specific time or by a specific agent.
-
D.
hasNetworkSize
Indicates the total number of nodes, members, or connections that make up a given network.
-
E.
hasAlumniNetworkSize
Indicates the size or extent of the alumni network associated with an 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_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 29, 2026, 8:12 p.m.