Triple
T12689645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of India sapphire |
E303167
|
entity |
| Predicate | clarityFeature |
P100245
|
FINISHED |
| Object | silky appearance |
—
|
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: silky appearance | Statement: [Star of India sapphire, clarityFeature, silky appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarityFeature Context triple: [Star of India sapphire, clarityFeature, silky appearance]
-
A.
clarifiesThat
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
B.
recognizedFeature
chosen
Indicates that a particular feature has been identified and acknowledged as present or valid in relation to an entity or context.
-
C.
sensitivityFeature
Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
-
D.
contrastCapability
Indicates a relationship where one entity’s capabilities are compared or set in opposition to another’s, highlighting differences in what they can do or achieve.
-
E.
clarifiesStandard
Indicates that one entity explains, specifies, or makes more precise the meaning or application of a given standard for another 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.