Triple
T25012789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Road to China |
E626039
|
entity |
| Predicate | notableAircraftDepicted |
P144796
|
FINISHED |
| Object | Bristol F2B biplane |
—
|
NE NERFINISHED |
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: Bristol F2B biplane | Statement: [High Road to China, notableAircraftDepicted, Bristol F2B biplane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAircraftDepicted Context triple: [High Road to China, notableAircraftDepicted, Bristol F2B biplane]
-
A.
notableAircraftUsed
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
B.
notableTransportAircraft
Indicates that the subject is a transport aircraft recognized for particular significance, such as historical importance, performance, or impact on aviation.
-
C.
portraysAircraft
chosen
Indicates that one entity visually represents or depicts an aircraft in some medium or form.
-
D.
notableAircraftProduced
Indicates that the subject entity has manufactured or been responsible for producing the specified aircraft, which are considered notable or significant.
-
E.
notableAircraftTheater
Indicates that an aircraft is notably associated with operations or service in a particular theater of activity or conflict.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 18, 2026, 6:05 a.m.