Triple
T26440901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander polynomial |
E665082
|
entity |
| Predicate | cannotDistinguish |
P19089
|
FINISHED |
| Object | all non-equivalent knots |
—
|
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: all non-equivalent knots | Statement: [Alexander polynomial, cannotDistinguish, all non-equivalent knots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotDistinguish Context triple: [Alexander polynomial, cannotDistinguish, all non-equivalent knots]
-
A.
cannot
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
-
B.
cannotBelongTo
Indicates that one entity is not allowed or not able to be a member, part, or element of another entity or group.
-
C.
cannotExpress
Indicates that one entity is unable to convey, articulate, or communicate something (such as a feeling, idea, or message) to another entity.
-
D.
doesNotDetermine
chosen
Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
-
E.
cannotIntroduce
Indicates that one entity is not permitted or able to introduce another entity (such as a person, concept, or item) into a given context or to a third party.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 26, 2026, 11:58 p.m.