Triple
T38619591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackmagic URSA Broadcast G2 |
E936831
|
entity |
| Predicate | supportsPower |
P206583
|
FINISHED |
| Object | V-mount battery (via plate) |
—
|
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: V-mount battery (via plate) | Statement: [Blackmagic URSA Broadcast G2, supportsPower, V-mount battery (via plate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPower Context triple: [Blackmagic URSA Broadcast G2, supportsPower, V-mount battery (via plate)]
-
A.
supportedPower
Indicates that an entity is capable of providing, handling, or operating at a specified level or range of power.
-
B.
supportsPowerLevel
Indicates that one entity is capable of providing or sustaining the required power level for another entity or operation.
-
C.
powersFeature
Indicates that one entity provides the underlying functionality or capability that enables a particular feature of another entity.
-
D.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
E.
supportsEP
Indicates that one entity provides assistance, resources, or endorsement to another entity’s emergency preparedness (EP) efforts or program.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.