Triple
T13292532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteor F.4 |
E316593
|
entity |
| Predicate | serviceCeilingClass |
P75760
|
FINISHED |
| Object | over 40,000 ft |
—
|
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: over 40,000 ft | Statement: [Meteor F.4, serviceCeilingClass, over 40,000 ft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceCeilingClass Context triple: [Meteor F.4, serviceCeilingClass, over 40,000 ft]
-
A.
seatClass
Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
-
B.
serviceCeilingFeet
chosen
Indicates the maximum altitude, measured in feet, at which an aircraft or vehicle can effectively operate or provide service.
-
C.
serviceCeilingContribution
Indicates the maximum level or limit of service that an entity is allowed or expected to provide as its contribution.
-
D.
serviceNumberOrClass
Indicates that one entity specifies the service identifier or class designation associated with another entity.
-
E.
cabinClassAbove
Indicates that one cabin class is ranked higher or more premium than another in a class hierarchy.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.