Triple
T38528548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reds Meadow Campground |
E923295
|
entity |
| Predicate | hasWildlifePrecaution |
P191175
|
FINISHED |
| Object | bear activity precautions required |
—
|
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: bear activity precautions required | Statement: [Reds Meadow Campground, hasWildlifePrecaution, bear activity precautions required]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWildlifePrecaution Context triple: [Reds Meadow Campground, hasWildlifePrecaution, bear activity precautions required]
-
A.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
B.
hasWildlifeActivity
Indicates that wildlife is present in the area and engaging in observable behaviors or movements.
-
C.
hasWildlifeIssue
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
-
D.
hasMajorWildlife
Indicates that a location or area supports significant populations or habitats of important wildlife species.
-
E.
hasWildlifeCharacteristic
Indicates that an entity possesses a particular trait, feature, or quality related to wildlife.
- F. None of above. chosen
Provenance (4 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.