Triple
T30875405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberley kimberlite fields |
E786462
|
entity |
| Predicate | diamondType |
P74858
|
FINISHED |
| Object | mostly gem-quality diamonds |
—
|
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: mostly gem-quality diamonds | Statement: [Kimberley kimberlite fields, diamondType, mostly gem-quality diamonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diamondType Context triple: [Kimberley kimberlite fields, diamondType, mostly gem-quality diamonds]
-
A.
northSouthDiamondsColor
Indicates that the related entities share the same color along the north–south (vertical) arrangement of diamonds.
-
B.
gemType
chosen
Indicates the specific kind or category of gemstone associated with an entity.
-
C.
hasDiamondCount
Indicates that an entity possesses or is associated with a specified number of diamonds.
-
D.
typeOfJewellery
Indicates the specific kind or category of jewellery that an item belongs to.
-
E.
caratWeight
Indicates the weight of a gemstone or diamond, measured in carats, associated with an item or 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691d56ec081909265c4b014388243 |
completed | May 3, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:48 p.m.