Triple
T5207746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Arrows |
E117552
|
entity |
| Predicate | typeOfDisplay |
P5731
|
FINISHED |
| Object | formation aerobatics |
—
|
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: formation aerobatics | Statement: [Black Arrows, typeOfDisplay, formation aerobatics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDisplay Context triple: [Black Arrows, typeOfDisplay, formation aerobatics]
-
A.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
B.
hasDisplayType
chosen
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
-
C.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
D.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
E.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.