Triple
T11138146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Chiginagak |
E263466
|
entity |
| Predicate | hasHydrothermalAlteration |
P81464
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mount Chiginagak, hasHydrothermalAlteration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydrothermalAlteration Context triple: [Mount Chiginagak, hasHydrothermalAlteration, yes]
-
A.
hasHydrothermalActivity
chosen
Indicates that a location or geological feature exhibits hydrothermal activity, such as the circulation of heated water or fluids associated with geothermal processes.
-
B.
hasMineral
Indicates that one entity contains, includes, or is composed of a specified mineral.
-
C.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
-
D.
hasAtmosphericFeature
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
E.
hasWaterIce
Indicates that one entity contains, possesses, or is characterized by the presence of water in solid (ice) form.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.