Triple
T3419117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDMI-CEC |
E72075
|
entity |
| Predicate | isOptionalIn |
P6844
|
FINISHED |
| Object | HDMI specification |
—
|
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: HDMI specification | Statement: [HDMI-CEC, isOptionalIn, HDMI specification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOptionalIn Context triple: [HDMI-CEC, isOptionalIn, HDMI specification]
-
A.
isNotRequiredFor
chosen
Indicates that one entity is not necessary or mandatory for the existence, occurrence, validity, or completion of another entity or process.
-
B.
isMandatoryFor
Indicates that something is required or compulsory for another thing to occur, be valid, or be completed.
-
C.
isMandatoryInSomeJurisdictions
Indicates that the subject is legally required or compulsory in at least one jurisdiction or legal authority.
-
D.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
E.
hasOptionalSection
Indicates that an entity includes a section or component that is not mandatory and may or may not be present.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94d6808819080997df30119e71e |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.