Triple
T29597908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Rae Lake |
E754355
|
entity |
| Predicate | isWithinWilderness |
P52162
|
FINISHED |
| Object | Sequoia-Kings Canyon Wilderness |
—
|
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: Sequoia-Kings Canyon Wilderness | Statement: [Middle Rae Lake, isWithinWilderness, Sequoia-Kings Canyon Wilderness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinWilderness Context triple: [Middle Rae Lake, isWithinWilderness, Sequoia-Kings Canyon Wilderness]
-
A.
hasWildernessArea
Indicates that one entity possesses, contains, or is associated with a designated wilderness area.
-
B.
containsWildernessArea
chosen
Indicates that one entity geographically includes or encompasses a designated wilderness area within its boundaries.
-
C.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
D.
isWild
Indicates that an entity exists in a natural, untamed state rather than being domesticated or controlled.
-
E.
hasWildernessCharacter
Indicates that an area possesses qualities or attributes associated with being wild, natural, and largely unaffected by human development or control.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66db95ed481908ec804df6d8b50a3 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:19 p.m.