Triple
T13352580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angora rabbit |
E318104
|
entity |
| Predicate | fiberHarvestFrequency |
P109045
|
FINISHED |
| Object | several times per year |
—
|
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: several times per year | Statement: [Angora rabbit, fiberHarvestFrequency, several times per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiberHarvestFrequency Context triple: [Angora rabbit, fiberHarvestFrequency, several times per year]
-
A.
floweringFrequency
Indicates how often an entity produces flowers within a given time period.
-
B.
harvestCondition
Indicates the specific circumstances or criteria under which a harvest may or should be carried out.
-
C.
floweringInterval
Indicates the time span or period during which an entity is in bloom or producing flowers.
-
D.
isHarvestedBy
Indicates that something (typically a resource, crop, or material) is collected or gathered through the actions of a particular agent or method.
-
E.
hasSeasonFrequency
Indicates how often something occurs or is scheduled within a specific season.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d9903fc2248190bd9894a45a2d0359 |
completed | April 11, 2026, 12:05 a.m. |
Created at: April 9, 2026, 9:32 p.m.