Triple
T12057281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldbühne |
E287073
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Forest Stage@en |
E760949
|
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: Forest Stage@en | Statement: [Waldbühne, hasNameInLanguage, Forest Stage@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest Stage@en Context triple: [Waldbühne, hasNameInLanguage, Forest Stage@en]
-
A.
The Forest Stage
chosen
The Forest Stage is an atmospheric, woodland-themed performance area at the Tomorrowland electronic dance music festival, known for its immersive natural setting and curated DJ sets.
-
B.
The Leaf Stage
The Leaf Stage is one of the themed music stages at the Belgian electronic dance music festival Tomorrowland, known for hosting performances by various DJs and artists.
-
C.
Estagel
Estagel is a small commune in southern France’s Pyrénées-Orientales department, known for its winegrowing landscape and proximity to the Corbières hills.
-
D.
Forest
Forest is a municipality in the Brussels-Capital Region of Belgium, known for its mix of residential areas, green spaces, and cultural venues.
-
E.
Forest
Forest is the central protagonist of the game *Devs*, around whom the story’s main events and character dynamics revolve.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.