Triple
T10168248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_NK pattern |
E235260
|
entity |
| Predicate | responderStaticKeySymbol |
P7657
|
FINISHED |
| Object | rs in pre-message |
—
|
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: rs in pre-message | Statement: [Noise_NK pattern, responderStaticKeySymbol, rs in pre-message]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responderStaticKeySymbol Context triple: [Noise_NK pattern, responderStaticKeySymbol, rs in pre-message]
-
A.
keySymbol
chosen
Indicates that one entity serves as the symbolic representation or notation used to denote another entity as a key.
-
B.
typicalKey
Indicates that the referenced key is the standard or most commonly used key associated with an entity or context.
-
C.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
D.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
E.
keyHitter
Indicates that an entity is a powerful or highly effective performer, especially in a competitive or performance-based 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.