Triple
T10168361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_XX pattern |
E235263
|
entity |
| Predicate | definesMessagePattern |
P92207
|
FINISHED |
| Object | three-message handshake |
—
|
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: three-message handshake | Statement: [Noise_XX pattern, definesMessagePattern, three-message handshake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesMessagePattern Context triple: [Noise_XX pattern, definesMessagePattern, three-message handshake]
-
A.
definesNumberOfPatterns
Indicates that an entity specifies or determines how many distinct patterns are involved or allowed in a given context.
-
B.
definesMessageType
Indicates that one entity specifies or determines the message type classification or category for another entity.
-
C.
flagPattern
Indicates that one entity has a flag whose design or pattern matches or represents the other entity.
-
D.
notationPattern
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
E.
moduloPatternName
Indicates that an entity is associated with a specific naming pattern used for modulo-based grouping or partitioning.
- 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_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. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.