Triple
T8756166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSON |
E208076
|
entity |
| Predicate | differenceFromJSON |
P85209
|
FINISHED |
| Object | binary encoding instead of text |
—
|
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: binary encoding instead of text | Statement: [BSON, differenceFromJSON, binary encoding instead of text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromJSON Context triple: [BSON, differenceFromJSON, binary encoding instead of text]
-
A.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
B.
differenceFromSidecar
Indicates that one entity differs in some specified way from a corresponding or reference entity referred to as a "sidecar."
-
C.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
D.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
-
E.
differenceFromUDP
Indicates a relationship where something is characterized or measured in terms of how it differs from UDP (User Datagram Protocol) in behavior, properties, or implementation.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:40 p.m.