Triple
T36468364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stieltjes measure |
E898477
|
entity |
| Predicate | zeroOn |
P9150
|
FINISHED |
| Object | intervals where F is constant |
—
|
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: intervals where F is constant | Statement: [Stieltjes measure, zeroOn, intervals where F is constant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zeroOn Context triple: [Stieltjes measure, zeroOn, intervals where F is constant]
-
A.
zeroDefinition
Indicates that something has no defined value, quantity, or specification within the given context.
-
B.
zeroCase
Indicates that an entity is in the zero grammatical case, typically used for forms that show no overt case marking or serve as a default/unmarked case in a language.
-
C.
zeroConcept
Indicates a conceptual or abstract entity that has no concrete instances or realizations in the given context.
-
D.
zeroSymmetry
Indicates that the relationship or structure remains unchanged when the zero element is applied or considered, reflecting invariance under the presence of zero.
-
E.
isZeroFor
chosen
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.