Triple
T9645243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quba |
E233176
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Qechresh forest |
E231523
|
NE 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: Qechresh forest | Statement: [Quba, hasAttraction, Qechresh forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qechresh forest Context triple: [Quba, hasAttraction, Qechresh forest]
-
A.
Qechresh forest
chosen
Qechresh Forest is a scenic woodland area in Azerbaijan known for its lush greenery, cool climate, and popularity as a nature retreat for picnics and outdoor recreation.
-
B.
Ushu Forest
Ushu Forest is a scenic alpine woodland near Kalam in Pakistan’s Swat Valley, known for its dense conifer trees, riverside landscapes, and popularity as a nature and picnic spot.
-
C.
Kologha Forest
Kologha Forest is one of South Africa’s largest indigenous forests, known for its dense evergreen canopy, rich biodiversity, and scenic hiking and cycling trails in the Eastern Cape.
-
D.
Dodowa Forest
Dodowa Forest is a historic woodland area in Ghana noted for its rich biodiversity and cultural significance, including sites linked to the 1826 Katamanso war.
-
E.
Karura Forest
Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7fd2308190803a196ecdc80d76 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18258489081909f0b328e223777fc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.