Triple
T20748794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zell am See District |
E510661
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Unken |
—
|
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: Unken | Statement: [Zell am See District, contains, Unken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unken Context triple: [Zell am See District, contains, Unken]
-
A.
Unken
chosen
Unken is a small Austrian municipality in the state of Salzburg, located near the German border in the Pinzgau region and known for its alpine scenery and outdoor recreation.
-
B.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
C.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
-
D.
Kinsaku
Kinsaku is a Japanese given name typically used for males.
-
E.
Tosiwo
Tosiwo is a given name most notably borne by Tosiwo Nakayama, the first President of the Federated States of Micronesia.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c228af288190a20829d45c034c24 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.