Triple
T23325524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Nevada (California) |
E591278
|
entity |
| Predicate | majorHumanUse |
P77624
|
FINISHED |
| Object | recreation |
—
|
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: recreation | Statement: [Sierra Nevada (California), majorHumanUse, recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorHumanUse Context triple: [Sierra Nevada (California), majorHumanUse, recreation]
-
A.
primaryHumanUse
chosen
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
B.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
C.
majorLandUse
Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
-
D.
primaryUseOf
Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
-
E.
civilianUse
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197e9de788190afd6883c7eac4854 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:11 p.m.