Triple
T16747076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSAP |
E406983
|
entity |
| Predicate | I/G bitPosition |
P23702
|
FINISHED |
| Object | most significant bit |
—
|
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: most significant bit | Statement: [DSAP, I/G bitPosition, most significant bit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: I/G bitPosition Context triple: [DSAP, I/G bitPosition, most significant bit]
-
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.
bitRepresentation
Indicates that one entity is the binary (bit-level) representation or encoding of another entity.
-
C.
segmentPosition
Indicates the relative location or ordering of a segment within a larger sequence or structure.
-
D.
mostSignificantBit
chosen
Indicates that one value represents the most significant (highest-order) bit in the binary representation of another value.
-
E.
bitWidth
Indicates the number of bits used to represent or encode a given value, type, or data element.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2311748190a17416de577ad159 |
completed | April 18, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.