Triple
T27964309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palette Spring |
E704673
|
entity |
| Predicate | hasHydrothermalType |
P81464
|
FINISHED |
| Object | hot spring |
—
|
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: hot spring | Statement: [Palette Spring, hasHydrothermalType, hot spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydrothermalType Context triple: [Palette Spring, hasHydrothermalType, hot spring]
-
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.
hasHydrologicalType
Indicates a relationship where an entity is classified according to its hydrological category or type (e.g., river, lake, aquifer).
-
C.
isGeothermalFieldType
Indicates that one entity is classified as a specific type or category of geothermal field in relation to another entity.
-
D.
hasTypeOfTectonicFeature
Indicates that one entity is characterized by or classified as a specific type of tectonic feature (such as a fault, plate boundary, or rift).
-
E.
hasRockType
Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 7:34 p.m.