Triple
T28766784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguru Mountains |
E726292
|
entity |
| Predicate | forestReserveExample |
P46488
|
FINISHED |
| Object | Nguru South Forest Reserve |
—
|
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: Nguru South Forest Reserve | Statement: [Nguru Mountains, forestReserveExample, Nguru South Forest Reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forestReserveExample Context triple: [Nguru Mountains, forestReserveExample, Nguru South Forest Reserve]
-
A.
forestDistrict
Indicates that one entity functions as the forest district or forest management administrative unit responsible for the other entity.
-
B.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
C.
natureReserveSince
Indicates that an area has held the legal or official status of a nature reserve since a specified point in time.
-
D.
notableForestAreas
Indicates that there exists a forested region associated with the subject that is recognized as significant or noteworthy in some context.
-
E.
containsNatureReserve
chosen
Indicates that one entity geographically includes or encompasses a designated nature reserve within its boundaries.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:14 a.m.