Triple
T20823750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm Municipality |
E512640
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Almindingen Forest |
—
|
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: Almindingen Forest | Statement: [Bornholm Municipality, contains, Almindingen Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almindingen Forest Context triple: [Bornholm Municipality, contains, Almindingen Forest]
-
A.
Almindingen Forest
chosen
Almindingen Forest is one of Denmark’s largest and most famous woodlands, known for its diverse nature, hiking trails, and historical sites on the island of Bornholm.
-
B.
Tilgate Forest
Tilgate Forest is a large woodland area in West Sussex, England, known for its walking trails, wildlife, and role as a key part of the wider Tilgate recreational landscape.
-
C.
Barnsdale Forest
Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
-
D.
Newlands Forest
Newlands Forest is a popular woodland recreation area on the eastern side of Cape Town, known for its hiking trails, picnic spots, and indigenous forest.
-
E.
Dunn Forest
Dunn Forest is a component of Oregon State University's McDonald-Dunn Research Forest, used primarily for forestry research, education, and sustainable land management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fc0cd081909e264cda686579ea |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.