Triple
T9816479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Mountain Wilderness |
E238417
|
entity |
| Predicate | protectionDesignation |
P623
|
FINISHED |
| Object | “forever wild” forest preserve |
—
|
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: “forever wild” forest preserve | Statement: [Giant Mountain Wilderness, protectionDesignation, “forever wild” forest preserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectionDesignation Context triple: [Giant Mountain Wilderness, protectionDesignation, “forever wild” forest preserve]
-
A.
heritageDesignation
chosen
Indicates that an entity has been formally assigned a specific cultural, historical, or heritage protection status by an authority.
-
B.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
C.
heritageDesignationSystem
Indicates the formal heritage classification or protection system under which an entity has been designated.
-
D.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
E.
associatedDesignation
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f4a1548190a5afc5ee0d7da392 |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:30 p.m.