Triple
T27964355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Cap |
E704674
|
entity |
| Predicate | geothermalField |
P53199
|
FINISHED |
| Object | Mammoth Hot Springs |
—
|
NE NERFINISHED |
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: Mammoth Hot Springs | Statement: [Liberty Cap, geothermalField, Mammoth Hot Springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geothermalField Context triple: [Liberty Cap, geothermalField, Mammoth Hot Springs]
-
A.
hasGeothermalField
chosen
Indicates that an entity possesses, contains, or is associated with a geothermal field.
-
B.
isGeothermalFieldType
Indicates that one entity is classified as a specific type or category of geothermal field in relation to another entity.
-
C.
hasGeothermalPotential
Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
-
D.
numberOfGeysers
Indicates the quantity of geysers associated with or contained in a given entity.
-
E.
volcanicFieldName
Indicates that an entity is identified by or associated with the specific name of a volcanic field.
- 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_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:34 p.m.