Triple
T26089842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiwu Ko’o Fai Nuwa Muri |
E658086
|
entity |
| Predicate | colorChangeCause |
P23298
|
FINISHED |
| Object | chemical reactions of volcanic gases and minerals |
—
|
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: chemical reactions of volcanic gases and minerals | Statement: [Tiwu Ko’o Fai Nuwa Muri, colorChangeCause, chemical reactions of volcanic gases and minerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorChangeCause Context triple: [Tiwu Ko’o Fai Nuwa Muri, colorChangeCause, chemical reactions of volcanic gases and minerals]
-
A.
colorChangeBelief
Indicates a belief or expectation that an entity’s color will or has changed from one state to another.
-
B.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
C.
typicalColorChange
Indicates a characteristic or commonly observed change in color that an entity undergoes under normal or expected conditions.
-
D.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
E.
colorBehavior
Indicates how an entity’s color changes, appears, or is used under certain conditions or interactions.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 7:46 p.m.