Triple
T1483892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway polynomial |
E29419
|
entity |
| Predicate | normalizationChoice |
P12712
|
FINISHED |
| Object | gives Alexander polynomial with symmetric normalization |
—
|
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: gives Alexander polynomial with symmetric normalization | Statement: [Conway polynomial, normalizationChoice, gives Alexander polynomial with symmetric normalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalizationChoice Context triple: [Conway polynomial, normalizationChoice, gives Alexander polynomial with symmetric normalization]
-
A.
normalizationAttempt
Indicates an effort to convert something into a standard or consistent form according to defined rules or criteria.
-
B.
normType
Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
-
C.
normIs
Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
-
D.
hasNorm
Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
-
E.
standardizationApproach
chosen
Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.