Triple
T26254617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauffman polynomial |
E656684
|
entity |
| Predicate | variableCount |
P53654
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [Kauffman polynomial, variableCount, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variableCount Context triple: [Kauffman polynomial, variableCount, two]
-
A.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
parameterCount
Indicates the number of parameters associated with a given function, method, or callable entity.
-
D.
numberOfUnknowns
chosen
Indicates the count of variables or elements in a situation, equation, or problem whose values are not yet determined or specified.
-
E.
variableType
Indicates that one entity is the type or data category of the other entity, which is a variable.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcd2e688190b54e36b0ff0d9187 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.