Triple
T10389165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil divisor |
E244844
|
entity |
| Predicate | hasConditionForEffectiveness |
P1255
|
FINISHED |
| Object | all coefficients are nonnegative integers |
—
|
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 coefficients are nonnegative integers | Statement: [Weil divisor, hasConditionForEffectiveness, all coefficients are nonnegative integers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConditionForEffectiveness Context triple: [Weil divisor, hasConditionForEffectiveness, all coefficients are nonnegative integers]
-
A.
hasCondition
chosen
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
hasIntendedEffect
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
C.
hasTypeOfEffect
Indicates that one entity produces, exhibits, or is associated with a particular kind or category of effect on another entity or context.
-
D.
effectiveFor
Indicates that one entity successfully produces the intended effect, benefit, or desired outcome for another entity or condition.
-
E.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
- 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_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. |
Created at: April 6, 2026, 12:05 p.m.