Triple
T7532628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etihad Cargo |
E178062
|
entity |
| Predicate | fleetTypeUsed |
P62605
|
FINISHED |
| Object | widebody freighter 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: widebody freighter aircraft | Statement: [Etihad Cargo, fleetTypeUsed, widebody freighter aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetTypeUsed Context triple: [Etihad Cargo, fleetTypeUsed, widebody freighter aircraft]
-
A.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
B.
fleetTypeOperated
chosen
Indicates that an entity operates or manages a particular type or category of fleet.
-
C.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
-
D.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
E.
formerFleetType
Indicates that an entity previously belonged to or operated as a specified type of fleet, but no longer does so.
- F. None of above.
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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.