Triple
T26263463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cullinan diamond |
E656914
|
entity |
| Predicate | yieldedSmallerStonesCount |
P19192
|
FINISHED |
| Object | 96 brilliants |
—
|
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: 96 brilliants | Statement: [Cullinan diamond, yieldedSmallerStonesCount, 96 brilliants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yieldedSmallerStonesCount Context triple: [Cullinan diamond, yieldedSmallerStonesCount, 96 brilliants]
-
A.
yieldedStone
Indicates that one entity produced, provided, or gave rise to a particular stone as a result or outcome.
-
B.
numberOfStones
chosen
Indicates the quantitative count of stones associated with a given entity or context.
-
C.
yieldedMainStone
Indicates that a source or process produced or provided the primary or most significant stone.
-
D.
numberOfMajorStones
Indicates the quantity of major stones associated with or involved in a given entity or context.
-
E.
usesOriginalStones
Indicates that something is constructed or preserved using the same stones that were part of the original structure or artifact.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 26, 2026, 9:10 p.m.