Triple
T25089181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Forest |
E628405
|
entity |
| Predicate | distanceToNearestSimilarForest |
P27195
|
FINISHED |
| Object | approximately 40 miles |
—
|
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: approximately 40 miles | Statement: [Lost Forest, distanceToNearestSimilarForest, approximately 40 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearestSimilarForest Context triple: [Lost Forest, distanceToNearestSimilarForest, approximately 40 miles]
-
A.
nearestNeighborGroup
Indicates that one entity belongs to a group defined by being the closest or most immediately adjacent neighbors to another entity according to some distance or similarity measure.
-
B.
nearestMajorNeighbor
Indicates that one entity is the closest significant or major neighboring entity to another in terms of spatial proximity.
-
C.
nearestCityCenterDistance
Indicates the distance from a given location to the closest city center.
-
D.
distanceMetric
chosen
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
-
E.
nearbyArchipelagoNameSimilarityWith
Indicates that two archipelagos have similar or matching names and are located near each other geographically.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 18, 2026, 6:24 a.m.