Triple
T37776060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breguet-Richet Gyroplane |
E941689
|
entity |
| Predicate | controlCharacteristics |
P199693
|
FINISHED |
| Object | limited controllability |
—
|
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: limited controllability | Statement: [Breguet-Richet Gyroplane, controlCharacteristics, limited controllability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlCharacteristics Context triple: [Breguet-Richet Gyroplane, controlCharacteristics, limited controllability]
-
A.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
-
B.
termCharacteristics
Indicates the defining properties, attributes, or features that characterize a given term.
-
C.
trackCharacteristics
Indicates the association between a track and its defining properties or attributes, such as its features, qualities, or descriptive parameters.
-
D.
rulesCharacteristic
Indicates that one entity establishes or defines a characteristic, property, or feature that another entity must follow or conform to.
-
E.
artCharacteristics
Indicates a relationship where specific qualities, styles, or features are attributed to a work of art.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
| PDg | Predicate description generation | batch_69ff4fc5289c819084abd5ede185e96b |
completed | May 9, 2026, 3:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.