Triple
T33924554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bristol Type 200 |
E869711
|
entity |
| Predicate | aircraftOriginIndustry |
P179730
|
FINISHED |
| Object | British aerospace industry |
—
|
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: British aerospace industry | Statement: [Bristol Type 200, aircraftOriginIndustry, British aerospace industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftOriginIndustry Context triple: [Bristol Type 200, aircraftOriginIndustry, British aerospace industry]
-
A.
avionicsOrigin
Indicates the source or originating location from which the avionics system or components are derived, produced, or supplied.
-
B.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
C.
usedAircraftOrigin
Indicates the place or source from which a used aircraft was originally obtained or came.
-
D.
appliedToAircraftBuiltBy
Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
-
E.
aircraftCategoryProduced
Indicates that an entity (such as a manufacturer or organization) has produced aircraft belonging to a specified aircraft category.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727bd39b081908457590c3ba9b745 |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 1:49 a.m.