Triple
T3503555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester encoding |
E74022
|
entity |
| Predicate | bitRepresentation |
P48585
|
FINISHED |
| Object | logical 0 represented by high-to-low transition in IEEE 802.3 |
—
|
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: logical 0 represented by high-to-low transition in IEEE 802.3 | Statement: [Manchester encoding, bitRepresentation, logical 0 represented by high-to-low transition in IEEE 802.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bitRepresentation Context triple: [Manchester encoding, bitRepresentation, logical 0 represented by high-to-low transition in IEEE 802.3]
-
A.
bitWidth
Indicates the number of bits used to represent or encode a given value, type, or data element.
-
B.
bitSlice
Indicates taking a contiguous subset of bits from a larger bit sequence, defined by specified start and end positions.
-
C.
mostSignificantBit
Indicates that one value represents the most significant (highest-order) bit in the binary representation of another value.
-
D.
bitLengthFactorization
Indicates a relationship where the bit-length of a number is determined or constrained by the factorization of that number.
-
E.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaef1037c819082c7af949ec85360 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:18 p.m.