Triple
T30534375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golconda diamonds |
E777097
|
entity |
| Predicate | clarityGradeTrend |
P66351
|
FINISHED |
| Object | often very high clarity grades |
—
|
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: often very high clarity grades | Statement: [Golconda diamonds, clarityGradeTrend, often very high clarity grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarityGradeTrend Context triple: [Golconda diamonds, clarityGradeTrend, often very high clarity grades]
-
A.
caratWeight
Indicates the weight of a gemstone or diamond, measured in carats, associated with an item or entity.
-
B.
stoneQuality
chosen
Indicates the quality or grade assigned to a stone in terms of its characteristics or condition.
-
C.
typicalValueForMetals
Indicates the characteristic or commonly observed value of a given property specifically for metals.
-
D.
colorGrade
Indicates the qualitative or categorical assessment of an entity’s color according to a defined grading scale.
-
E.
stoneIndustryCategory
Indicates the industrial category or sector within the stone industry to which an entity belongs.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6884eba208190ba177d06a1111541 |
completed | May 2, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:18 p.m.