Triple
T30561855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton, Oregon |
E777865
|
entity |
| Predicate | nearestMajorWildlifeArea |
P61347
|
FINISHED |
| Object | Malheur National Wildlife Refuge |
—
|
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: Malheur National Wildlife Refuge | Statement: [Princeton, Oregon, nearestMajorWildlifeArea, Malheur National Wildlife Refuge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorWildlifeArea Context triple: [Princeton, Oregon, nearestMajorWildlifeArea, Malheur National Wildlife Refuge]
-
A.
approximateDistanceToWildlife
Indicates that one entity has an estimated or rough measure of its distance from wildlife.
-
B.
hasNearbyWildlifeRefuge
Indicates that something is located close to or in the vicinity of a designated wildlife refuge.
-
C.
nearestMajorProtectedArea
chosen
Indicates the closest significant legally protected natural area to a given location or entity.
-
D.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
E.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 29, 2026, 8:21 p.m.