Triple
T26440896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander polynomial |
E665082
|
entity |
| Predicate | normalizationProperty |
P161707
|
FINISHED |
| Object | defined up to multiplication by ±t^n |
—
|
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: defined up to multiplication by ±t^n | Statement: [Alexander polynomial, normalizationProperty, defined up to multiplication by ±t^n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalizationProperty Context triple: [Alexander polynomial, normalizationProperty, defined up to multiplication by ±t^n]
-
A.
normalizationType
Indicates the specific method or scheme used to normalize or standardize data, values, or representations within a given context.
-
B.
normalizationInvolves
Indicates that a normalization process includes or makes use of a particular component, step, or element as part of its execution.
-
C.
usesNormalization
Indicates that one entity applies or relies on a normalization process or technique in relation to another entity or data.
-
D.
fieldNormalization
Indicates that a field’s values are being transformed or scaled into a standardized form to enable consistent comparison or processing across different records or datasets.
-
E.
normalizationAttempt
Indicates an effort to convert something into a standard or consistent form according to defined rules or criteria.
- F. None of above. chosen
Provenance (4 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_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 26, 2026, 11:58 p.m.