Triple
T10168364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_XX pattern |
E235263
|
entity |
| Predicate | secondMessageDirection |
P82565
|
FINISHED |
| Object | responder-to-initiator |
—
|
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: responder-to-initiator | Statement: [Noise_XX pattern, secondMessageDirection, responder-to-initiator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondMessageDirection Context triple: [Noise_XX pattern, secondMessageDirection, responder-to-initiator]
-
A.
secondedBy
Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
-
B.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
-
C.
communicationDirection
chosen
Indicates the directional flow of a communication act, specifying who is sending information and who is receiving it.
-
D.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
E.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
- 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.