Triple
T6317954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muir Pass |
E141661
|
entity |
| Predicate | shelterUse |
P3789
|
FINISHED |
| Object | emergency shelter for hikers |
—
|
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: emergency shelter for hikers | Statement: [Muir Pass, shelterUse, emergency shelter for hikers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shelterUse Context triple: [Muir Pass, shelterUse, emergency shelter for hikers]
-
A.
hasShelters
chosen
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
B.
canAdopt
Indicates that one entity has the ability or permission to adopt another entity.
-
C.
usedAnimal
Indicates that one entity employed or exploited an animal for a particular purpose or activity.
-
D.
adoptionLocation
Indicates the place or setting where an adoption event occurs or is formally recorded.
-
E.
motiveForAdoption
Indicates that one entity serves as the reason or motivation for another entity’s act of adopting something (such as a person, practice, or object).
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.