Triple
T13250567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angora goat |
E315514
|
entity |
| Predicate | annualMohairYieldPerHead |
P109153
|
FINISHED |
| Object | approximately 4–5 kilograms |
—
|
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: approximately 4–5 kilograms | Statement: [Angora goat, annualMohairYieldPerHead, approximately 4–5 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualMohairYieldPerHead Context triple: [Angora goat, annualMohairYieldPerHead, approximately 4–5 kilograms]
-
A.
averageMilkYieldCategory
Indicates the classification of an entity based on its typical or average amount of milk produced over a given period.
-
B.
calvingProduces
Indicates that the biological process of calving results in or brings about a particular outcome, product, or entity.
-
C.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
D.
cropMilkProducedBy
Indicates that a specific quantity or type of milk is produced by a particular crop or plant source.
-
E.
isWoolGrowingCentre
Indicates that a location functions as a central hub or primary area for the production, processing, or trade of wool.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:24 p.m.