Triple
T10590620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lava Beds National Monument |
E249976
|
entity |
| Predicate | hasNumberOfCaves |
P10755
|
FINISHED |
| Object | more than 700 lava tube caves |
—
|
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: more than 700 lava tube caves | Statement: [Lava Beds National Monument, hasNumberOfCaves, more than 700 lava tube caves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCaves Context triple: [Lava Beds National Monument, hasNumberOfCaves, more than 700 lava tube caves]
-
A.
hasCaves
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
B.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
C.
hasNearbyCave
Indicates that one entity is located close to or in the vicinity of a cave associated with another entity.
-
D.
cavesUsedFor
Indicates that certain caves are utilized for a particular purpose, activity, or function by an entity.
-
E.
caveType
Indicates the specific classification or kind of cave associated with an entity.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277b66448190b668c47fe6af4f3d |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.