Triple
T19417036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinzgau |
E485747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Unken
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.
|
E1374971
|
NE FINISHED |
How this triple was built (4 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: [Pinzgau, contains, Unken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unken Context triple: [Pinzgau, contains, Unken]
-
A.
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.
-
B.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
-
C.
Tosiwo
Tosiwo is a given name most notably borne by Tosiwo Nakayama, the first President of the Federated States of Micronesia.
-
D.
Kiyoshi
Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
-
E.
Akiro
Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unken Triple: [Pinzgau, contains, Unken]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unken Target entity description: 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.
-
A.
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.
-
B.
Kinsaku
Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
-
C.
Tosiwo
Tosiwo is a given name most notably borne by Tosiwo Nakayama, the first President of the Federated States of Micronesia.
-
D.
Kiyoshi
Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
-
E.
Akiro
Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
- F. None of above. chosen
Provenance (5 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733ce2e6081909e8baebf638747f1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0734cfc2488190a488c40431a0b612 |
completed | May 15, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735c38b7881908489916ff2f2883e |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.