Triple
T36874013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caviahue-Copahue geothermal field |
E911295
|
entity |
| Predicate | fluidComposition |
P186631
|
FINISHED |
| Object | acid-sulfate waters |
—
|
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: acid-sulfate waters | Statement: [Caviahue-Copahue geothermal field, fluidComposition, acid-sulfate waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fluidComposition Context triple: [Caviahue-Copahue geothermal field, fluidComposition, acid-sulfate waters]
-
A.
hasAverageCompositionByVolume
Indicates that one entity has another entity as its specified average proportion of total volume in a mixture or system.
-
B.
densityLiquid
Indicates that the predicate specifies the mass per unit volume of a substance when it is in its liquid state.
-
C.
dustComposition
Indicates the material makeup or constituent substances that form a given dust sample or dust population.
-
D.
chemicalForm
Indicates the specific chemical composition or structural variant that characterizes a substance in a given context.
-
E.
chemicalComponent
Indicates that one entity is a constituent chemical part or ingredient of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.