Triple
T12689665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of India sapphire |
E303167
|
entity |
| Predicate | impuritiesCausingColor |
P23298
|
FINISHED |
| Object | titanium and iron |
—
|
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: titanium and iron | Statement: [Star of India sapphire, impuritiesCausingColor, titanium and iron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impuritiesCausingColor Context triple: [Star of India sapphire, impuritiesCausingColor, titanium and iron]
-
A.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
B.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
C.
secondaryPigment
Indicates that one pigment functions as a secondary or supporting color relative to another primary pigment in a given context.
-
D.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
E.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
- 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.