Triple
T26034831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segré–Silberberg effect |
E647522
|
entity |
| Predicate | doesNotOccurIn |
P9443
|
FINISHED |
| Object | creeping flow limit |
—
|
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: creeping flow limit | Statement: [Segré–Silberberg effect, doesNotOccurIn, creeping flow limit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotOccurIn Context triple: [Segré–Silberberg effect, doesNotOccurIn, creeping flow limit]
-
A.
doesNotDefine
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
notObservedIn
chosen
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
D.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
E.
doesNotDependOn
Indicates that one entity’s state, behavior, or outcome is completely independent of, and not influenced or determined by, 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 9:07 a.m.