Triple
T10168345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_XK pattern |
E235262
|
entity |
| Predicate | handshakePhaseCount |
P43058
|
FINISHED |
| Object | multiple message patterns |
—
|
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: multiple message patterns | Statement: [Noise_XK pattern, handshakePhaseCount, multiple message patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handshakePhaseCount Context triple: [Noise_XK pattern, handshakePhaseCount, multiple message patterns]
-
A.
handshakingSignals
Indicates that one entity is communicating or coordinating with another through a handshake-like signaling process, typically to establish, confirm, or manage a connection or agreement.
-
B.
handshakeRole
Indicates the specific part or function an entity assumes in a handshake interaction between participants.
-
C.
phaseCount
chosen
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
D.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
-
E.
protocolCount
Indicates the number of distinct protocols associated with, used by, or defined for a given entity or context.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.