Triple
T911461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandelier National Monument |
E19666
|
entity |
| Predicate | primaryRockType |
P17895
|
FINISHED |
| Object | volcanic tuff |
—
|
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: volcanic tuff | Statement: [Bandelier National Monument, primaryRockType, volcanic tuff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRockType Context triple: [Bandelier National Monument, primaryRockType, volcanic tuff]
-
A.
hasRockType
Indicates that an entity is composed of, characterized by, or associated with a specific type of rock.
-
B.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
C.
lithology
chosen
Indicates the type and characteristics of rock or sediment that compose a geological unit or layer.
-
D.
lithosphereType
Indicates the classification of a lithospheric unit according to its type (e.g., oceanic, continental, or other defined categories).
-
E.
mantleType
Indicates the type or classification of a mantle associated with an entity, specifying what kind of mantle it has.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.