Triple
T17604294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscadinia |
E428785
|
entity |
| Predicate | hasHigherColdSensitivityThan |
P128250
|
FINISHED |
| Object | many Vitis vinifera cultivars |
—
|
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: many Vitis vinifera cultivars | Statement: [Muscadinia, hasHigherColdSensitivityThan, many Vitis vinifera cultivars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigherColdSensitivityThan Context triple: [Muscadinia, hasHigherColdSensitivityThan, many Vitis vinifera cultivars]
-
A.
isColderThan
Indicates that one entity has a lower temperature than another entity.
-
B.
hasColdPhase
Indicates that an entity undergoes or includes a period or stage characterized by low temperature or cold conditions.
-
C.
isColdBlooded
Indicates that the subject has a cold-blooded (ectothermic) physiology, relying on external sources to regulate body temperature.
-
D.
hasAntifreezeProteins
Indicates that an entity possesses proteins that prevent or reduce freezing damage, typically by inhibiting ice crystal formation.
-
E.
isHotterThan
Indicates that one entity has a higher temperature than another entity.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4b4ee88190827ea28b99ca6f33 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.