Triple
T11068139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Tat |
E261676
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Khizi Tat
Khizi Tat is a regional variety of the Southern Tat language spoken in and around the Khizi area of Azerbaijan.
|
E903151
|
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: Khizi Tat | Statement: [Southern Tat, hasDialect, Khizi Tat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khizi Tat Context triple: [Southern Tat, hasDialect, Khizi Tat]
-
A.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Makhshirin
Makhshirin is a tractate of the Mishnah in Seder Tohorot that deals with the liquids and conditions that render foods susceptible to ritual impurity.
-
D.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
E.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
- 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: Khizi Tat Triple: [Southern Tat, hasDialect, Khizi Tat]
Generated description
Khizi Tat is a regional variety of the Southern Tat language spoken in and around the Khizi area of Azerbaijan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khizi Tat Target entity description: Khizi Tat is a regional variety of the Southern Tat language spoken in and around the Khizi area of Azerbaijan.
-
A.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Makhshirin
Makhshirin is a tractate of the Mishnah in Seder Tohorot that deals with the liquids and conditions that render foods susceptible to ritual impurity.
-
D.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
E.
Kuhdasht
Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
- 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_69e3c8b2d6e881909eeddf1e6427ad5c |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3cae07b648190b4c0d2514712d6bd |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf1f508c81909b4ca8131b7fc9ee |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:26 p.m.