Triple
T17179302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HiRISE |
E416938
|
entity |
| Predicate | canAcquireStereoPairs |
P126632
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HiRISE, canAcquireStereoPairs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAcquireStereoPairs Context triple: [HiRISE, canAcquireStereoPairs, true]
-
A.
supportsStereoPairing
Indicates that an entity is capable of being paired with another similar entity to function together as a synchronized stereo audio system.
-
B.
stereoCapability
Indicates that an entity has the ability to produce, process, or support stereo (two-channel) audio.
-
C.
hasStereoOutput
Indicates that an entity provides or supports audio output in stereo (two-channel) format.
-
D.
stereoscopic3D
Indicates that the subject is presented or perceived using stereoscopic 3D techniques, creating a depth effect by delivering slightly different images to each eye.
-
E.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.