Triple
T20788117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granitz Hunting Lodge |
E511694
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Granitz 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: Granitz forest | Statement: [Granitz Hunting Lodge, locatedIn, Granitz forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granitz forest Context triple: [Granitz Hunting Lodge, locatedIn, Granitz forest]
-
A.
Granitz Forest
chosen
Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
-
B.
Noteć Forest
Noteć Forest is a large forested region in western Poland, known for its extensive pine woodlands and location along the Noteć River.
-
C.
Burgwald forest
Burgwald forest is a large, sparsely populated woodland region in Hesse, Germany, known for its extensive hiking trails, natural landscapes, and biodiversity.
-
D.
Zimmerberg forest area
The Zimmerberg forest area is a wooded recreational region near Thalwil in Switzerland, popular for walking, hiking, and outdoor leisure activities.
-
E.
Kabaty Forest
Kabaty Forest is a large woodland and popular recreational area on the southern edge of Warsaw, known for its extensive walking and cycling paths.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28dfb8c8190a10289c157a61c67 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.