Triple
T26650648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandpiper Air |
E669040
|
entity |
| Predicate | fleetSizeInSeries |
P1848
|
FINISHED |
| Object | 1 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: 1 aircraft | Statement: [Sandpiper Air, fleetSizeInSeries, 1 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetSizeInSeries Context triple: [Sandpiper Air, fleetSizeInSeries, 1 aircraft]
-
A.
fleetSize
chosen
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
fleetOrClass
Indicates that something belongs to, is part of, or is categorized under a particular fleet or class.
-
C.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
D.
fleetNumbers
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
-
E.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:32 a.m.