Triple
T22371639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fassan Ladin |
E553053
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Cazet dialect
The Cazet dialect is a regional variety of the Fassan Ladin language spoken in parts of the Fassa Valley in the Dolomites of northern Italy.
|
E1533105
|
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: Cazet dialect | Statement: [Fassan Ladin, hasDialect, Cazet dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cazet dialect Context triple: [Fassan Ladin, hasDialect, Cazet dialect]
-
A.
Zanniat dialect
The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Doabi dialect
The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
-
D.
Baraba dialect
The Baraba dialect is a regional variety of the Siberian Tatar language traditionally spoken by the Baraba Tatars in southwestern Siberia.
-
E.
Turu dialect
Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
- 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: Cazet dialect Triple: [Fassan Ladin, hasDialect, Cazet dialect]
Generated description
The Cazet dialect is a regional variety of the Fassan Ladin language spoken in parts of the Fassa Valley in the Dolomites of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cazet dialect Target entity description: The Cazet dialect is a regional variety of the Fassan Ladin language spoken in parts of the Fassa Valley in the Dolomites of northern Italy.
-
A.
Zanniat dialect
The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Doabi dialect
The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
-
D.
Baraba dialect
The Baraba dialect is a regional variety of the Siberian Tatar language traditionally spoken by the Baraba Tatars in southwestern Siberia.
-
E.
Turu dialect
Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15804f1b08190b57689e6afb615a0 |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae06a3304819087a6f0f97d9b2d5a |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae1fc97fc8190a29ec44cdc293591 |
completed | May 18, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae27a0cd88190aa869980829625a4 |
completed | May 18, 2026, 9:57 a.m. |
Created at: April 16, 2026, 8:44 p.m.