Triple
T10389180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil divisor |
E244844
|
entity |
| Predicate | hasEquivalenceRelation |
P93932
|
FINISHED |
| Object | linear equivalence of divisors |
—
|
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: linear equivalence of divisors | Statement: [Weil divisor, hasEquivalenceRelation, linear equivalence of divisors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquivalenceRelation Context triple: [Weil divisor, hasEquivalenceRelation, linear equivalence of divisors]
-
A.
hasEquivalent
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
B.
hasStateEquivalent
Indicates that two entities share an equivalent state or condition, even if they are not otherwise identical.
-
C.
isEquiconsistentWith
Indicates that two formal theories or systems have the same consistency strength, such that if one is consistent then the other is also consistent, and if one is inconsistent then so is the other.
-
D.
requiresEquatableElements
Indicates that the relationship or operation can only be applied when the involved elements support equality comparison with one another.
-
E.
equivalentTo
Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b40dd8819080ac839487020a44 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.