Triple
T14444692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favrile glass |
E358171
|
entity |
| Predicate | colorationMethod |
P80716
|
FINISHED |
| Object | metallic salts in the glass melt |
—
|
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: metallic salts in the glass melt | Statement: [Favrile glass, colorationMethod, metallic salts in the glass melt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorationMethod Context triple: [Favrile glass, colorationMethod, metallic salts in the glass melt]
-
A.
colorationFunction
Indicates a relationship where an entity’s coloration serves a particular role or purpose, such as camouflage, signaling, or protection.
-
B.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
C.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
D.
colorTreatment
chosen
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
E.
colorationCause
Indicates that one entity is the cause or source of the coloration observed in 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915e76f481909fe9462f964b5b1c |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.