Triple
T17417461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AV1 |
E423521
|
entity |
| Predicate | bitstreamVersion |
P127372
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [AV1, bitstreamVersion, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bitstreamVersion Context triple: [AV1, bitstreamVersion, 1]
-
A.
bitOrder
Indicates the ordering or sequence of bits within a binary representation, such as which bit positions are considered first or most significant.
-
B.
protocolVersion
Indicates the specific version of a protocol that governs how two or more entities communicate or interact.
-
C.
bitWidth
Indicates the number of bits used to represent or encode a given value, type, or data element.
-
D.
recordedVersion
Indicates that one entity is a specific recorded version or recording of another entity (such as a work, performance, or composition).
-
E.
versionOf
Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44233c7888190a4d2aa703b206851 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.