Triple
T33752335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt-Toiyabe National Forest |
E864877
|
entity |
| Predicate | largestNationalForestOutside |
P177273
|
FINISHED |
| Object | Alaska |
—
|
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: Alaska | Statement: [Humboldt-Toiyabe National Forest, largestNationalForestOutside, Alaska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestNationalForestOutside Context triple: [Humboldt-Toiyabe National Forest, largestNationalForestOutside, Alaska]
-
A.
largestNationalPark
Indicates that the subject is the largest national park within the specified country or region.
-
B.
isLargestStateForestIn
Indicates that a state forest is the largest (by area) among all state forests located within a specified region or jurisdiction.
-
C.
hasNationalForest
Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
-
D.
withinNationalForest
Indicates that one entity is located inside the geographic boundaries of a national forest.
-
E.
oneOfLargestNationalParksIn
Indicates that the subject is among the largest national parks located within the specified place or region.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb9142a881908bd4784689cce14a |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96ea0c08190902a3d0e1f263e8c |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:45 a.m.