Triple
T24084136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobra Dane radar |
E596586
|
entity |
| Predicate | radarFaceOrientation |
P143462
|
FINISHED |
| Object | single large array |
—
|
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: single large array | Statement: [Cobra Dane radar, radarFaceOrientation, single large array]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radarFaceOrientation Context triple: [Cobra Dane radar, radarFaceOrientation, single large array]
-
A.
gazeDirection
Indicates the direction in which an entity is looking or focusing its visual attention.
-
B.
isFaceOn
chosen
Indicates that one surface or side of an object is oriented directly toward, or aligned to face, another object or reference direction.
-
C.
faceValueType
Indicates the type or category of a financial instrument’s face (nominal) value, such as how that value is defined or represented.
-
D.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
E.
radarInterface
Indicates that one entity serves as or provides a radar-based interface or interaction layer for another entity.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc279ac48190b60a0753981f0b97 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.