Triple
T10567417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourpeaked Mountain |
E249385
|
entity |
| Predicate | isPartOfNationalParkSystem |
P9791
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fourpeaked Mountain, isPartOfNationalParkSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfNationalParkSystem Context triple: [Fourpeaked Mountain, isPartOfNationalParkSystem, true]
-
A.
hasNationalParkServicePresence
Indicates that the National Park Service operates, manages, or maintains an official presence at the referenced location or entity.
-
B.
withinNationalPark
chosen
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
-
C.
hasNationalParkSite
Indicates that a location, region, or jurisdiction contains or is home to at least one designated national park site.
-
D.
hasNationalParkServiceUnitCode
Indicates that an entity is associated with a specific National Park Service unit, identified by its official unit code.
-
E.
designatedAsNationalPark
Indicates that an area has been officially assigned the legal status and protections of a national park by an authorized governing body.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.