Triple
T7875626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prättigau/Davos Region |
E182843
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Jenaz
Jenaz is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known for its rural character and mountain scenery.
|
E701544
|
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: Jenaz | Statement: [Prättigau/Davos Region, hasMunicipality, Jenaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenaz Context triple: [Prättigau/Davos Region, hasMunicipality, Jenaz]
-
A.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
B.
Jezanna
Jezanna is a recurring character in Alison Bechdel’s comic strip "Dykes to Watch Out For," known as one of the lesbian women whose personal and political life is explored in the series.
-
C.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
D.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
E.
Jina
Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
- 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: Jenaz Triple: [Prättigau/Davos Region, hasMunicipality, Jenaz]
Generated description
Jenaz is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known for its rural character and mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenaz Target entity description: Jenaz is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known for its rural character and mountain scenery.
-
A.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
B.
Jezanna
Jezanna is a recurring character in Alison Bechdel’s comic strip "Dykes to Watch Out For," known as one of the lesbian women whose personal and political life is explored in the series.
-
C.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
D.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
E.
Jina
Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39aa7ca88190b88a18f6a8971e51 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b79705c8190955e128081048ebe |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7630b8908190a0b8f4856bceea0a |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbfb894588190971ade076acdbd5c |
completed | March 31, 2026, 12:36 p.m. |
Created at: March 30, 2026, 4:57 p.m.