Triple
T14786339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meʼen language |
E347534
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Tishena
Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
|
E1119794
|
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: Tishena | Statement: [Meʼen language, hasDialect, Tishena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tishena Context triple: [Meʼen language, hasDialect, Tishena]
-
A.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
B.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
C.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
D.
Tana Qirqos
Tana Qirqos is a historically significant island in Ethiopia’s Lake Tana, known for its ancient Christian monastery and religious heritage.
-
E.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
- 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: Tishena Triple: [Meʼen language, hasDialect, Tishena]
Generated description
Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tishena Target entity description: Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
-
A.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
B.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
C.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
D.
Tana Qirqos
Tana Qirqos is a historically significant island in Ethiopia’s Lake Tana, known for its ancient Christian monastery and religious heritage.
-
E.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b9e8a08190bc736ac207b77324 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe266a05308190b9f6adba3e635e2f |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26f8fb7881909892c381b16fc80a |
completed | May 8, 2026, 6:10 p.m. |
Created at: April 10, 2026, 1:31 a.m.