Triple
T11068100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Tat |
E261675
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Middle Tat
Middle Tat is a historical variety of the Tat language spoken in the Caucasus region, representing an intermediate stage in the development of modern Tat dialects.
|
E903455
|
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: Middle Tat | Statement: [Northern Tat, closelyRelatedTo, Middle Tat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middle Tat Context triple: [Northern Tat, closelyRelatedTo, Middle Tat]
-
A.
Middle Bass
Middle Bass is a small unincorporated community and resort area located on Middle Bass Island in Lake Erie, Ohio.
-
B.
Midlands
Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
-
C.
Midlands
The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
-
D.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
E.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
- 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: Middle Tat Triple: [Northern Tat, closelyRelatedTo, Middle Tat]
Generated description
Middle Tat is a historical variety of the Tat language spoken in the Caucasus region, representing an intermediate stage in the development of modern Tat dialects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Middle Tat Target entity description: Middle Tat is a historical variety of the Tat language spoken in the Caucasus region, representing an intermediate stage in the development of modern Tat dialects.
-
A.
Middle Bass
Middle Bass is a small unincorporated community and resort area located on Middle Bass Island in Lake Erie, Ohio.
-
B.
Midlands
Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
-
C.
Midlands
The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
-
D.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
E.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8a4cdb8819080765d746f477089 |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3d5cf52d081909c006d0281b55b22 |
completed | April 18, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3da9a5b148190863416c38403cbd3 |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 8, 2026, 9:26 p.m.