Triple
T33777105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anzani 3-cylinder fan engine |
E865551
|
entity |
| Predicate | usedInRecord |
P197067
|
FINISHED |
| Object | first airplane flight across the English Channel |
—
|
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: first airplane flight across the English Channel | Statement: [Anzani 3-cylinder fan engine, usedInRecord, first airplane flight across the English Channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInRecord Context triple: [Anzani 3-cylinder fan engine, usedInRecord, first airplane flight across the English Channel]
-
A.
usedForRecordingBy
Indicates that something serves as a medium, tool, or device that is employed by an agent to make a recording.
-
B.
usesRecordCode
Indicates that one entity employs or references a specific record code associated with another entity or resource.
-
C.
usedInResult
Indicates that something (such as a resource, method, or input) is utilized or incorporated in producing a particular result or outcome.
-
D.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
-
E.
usedInRecordingsMetadata
Indicates that something is employed or referenced within the metadata associated with recordings.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69fe7663b5bc81909524c40d3a172512 |
completed | May 8, 2026, 11:48 p.m. |
Created at: May 1, 2026, 1:45 a.m.