Triple
T38283437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Welland |
E1022137
|
entity |
| Predicate | usedOnAircraftFirstFlight |
P10706
|
FINISHED |
| Object | Gloster Meteor prototype |
—
|
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: Gloster Meteor prototype | Statement: [Rolls-Royce Welland, usedOnAircraftFirstFlight, Gloster Meteor prototype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnAircraftFirstFlight Context triple: [Rolls-Royce Welland, usedOnAircraftFirstFlight, Gloster Meteor prototype]
-
A.
firstFlownAt
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
-
B.
firstFlightOnType
Indicates that an entity represents the first flight event conducted with a particular aircraft type or model.
-
C.
firstFlownOn
Indicates the date or time at which something (typically an aircraft or spacecraft) made its initial flight.
-
D.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
E.
usedOnAircraftName
chosen
Indicates that something is employed or applied on an aircraft identified by a specific name.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.