Triple
T1249061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | multinomial theorem |
E26831
|
entity |
| Predicate | validOver |
P9768
|
FINISHED |
| Object | real numbers |
—
|
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: real numbers | Statement: [multinomial theorem, validOver, real numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validOver Context triple: [multinomial theorem, validOver, real numbers]
-
A.
validIn
chosen
Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
-
B.
canBeUsedOver
Indicates that one entity is suitable or valid for use in place of, or in relation to, another entity.
-
C.
supportsValidationOf
Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
-
D.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
-
E.
allowedReturn
Indicates that an entity is permitted to be returned or sent back under specified conditions or rules.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf83b32c81908648e5748b897247 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.