Triple
T28636835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dresden Green Diamond |
E724810
|
entity |
| Predicate | mountedWith |
P10139
|
FINISHED |
| Object | white 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: white diamonds | Statement: [Dresden Green Diamond, mountedWith, white diamonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountedWith Context triple: [Dresden Green Diamond, mountedWith, white diamonds]
-
A.
mountedAtFocus
Indicates that one entity is physically or logically attached or fixed at a specific focal point or position on another entity.
-
B.
loadedWith
Indicates that one entity is carrying, filled with, or heavily supplied with another entity.
-
C.
hasMount
Indicates that an entity is equipped with, riding, or otherwise using another entity as a mount for transportation or support.
-
D.
attachedTo
chosen
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
E.
runnerMounting
Indicates a relationship where a runner is being attached, installed, or positioned onto another object or surface.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 4:41 a.m.