Triple
T16162946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tay Forest Park |
E392222
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tay Forest |
E392222
|
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: Tay Forest | Statement: [Tay Forest Park, partOf, Tay Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tay Forest Context triple: [Tay Forest Park, partOf, Tay Forest]
-
A.
Tay Forest Park
chosen
Tay Forest Park is a scenic woodland area in the Scottish Highlands known for its diverse forests, walking trails, and views over Loch Tummel and the River Tay.
-
B.
Achray Forest
Achray Forest is a scenic woodland area in central Scotland, known for its lochs, walking trails, and location within the Trossachs landscape.
-
C.
Trinity Forest
Trinity Forest is a wooded area in Dallas, Texas, known as one of the largest urban hardwood forests in the United States.
-
D.
Herekino Forest
Herekino Forest is a native forest area in New Zealand known for its coastal hill landscapes and indigenous flora and fauna in the Far North.
-
E.
Tennenlohe Forest
Tennenlohe Forest is a protected woodland area in Bavaria, Germany, known for its diverse habitats, rare species, and recreational trails near the city of Erlangen.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e616770819093f16c88722b2a7d |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b69adc8190ba90d68acaaca509 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.