Triple
T15107878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irati |
E360834
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Irati Forest |
E1138518
|
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: Irati Forest | Statement: [Irati, touristAttraction, Irati Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irati Forest Context triple: [Irati, touristAttraction, Irati Forest]
-
A.
Irati Forest
chosen
Irati Forest is a vast, well-preserved beech and fir woodland in the western Pyrenees, renowned for its rich biodiversity and scenic hiking landscapes.
-
B.
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.
-
C.
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.
-
D.
Chilapata Forest
Chilapata Forest is a dense, wildlife-rich forest in West Bengal, India, known for its elephant corridor, rich biodiversity, and historical ruins of the Nalraja Fort.
-
E.
El Pardo forest
El Pardo forest is a large protected natural area near Madrid, Spain, known for its Mediterranean woodland, wildlife, and use as a royal hunting ground.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe2369881908c7ebbad412d9000 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:05 a.m.