Triple
T13482249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty Region |
E318399
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Taldykorgan
Taldykorgan is a city in southeastern Kazakhstan that serves as an important administrative, economic, and cultural center for the surrounding region.
|
E1043115
|
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: Taldykorgan | Statement: [Almaty Region, capital, Taldykorgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taldykorgan Context triple: [Almaty Region, capital, Taldykorgan]
-
A.
Chormaqan
Chormaqan was a prominent Mongol general of the early 13th century who led major campaigns in the Caucasus and the Middle East, consolidating Mongol control over the region.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Takhiatash
Takhiatash is an industrial city in western Uzbekistan known for its power plant and location near the Amu Darya River in the autonomous Republic of Karakalpakstan.
-
D.
Kurnub
Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
-
E.
Torgos
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
- 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: Taldykorgan Triple: [Almaty Region, capital, Taldykorgan]
Generated description
Taldykorgan is a city in southeastern Kazakhstan that serves as an important administrative, economic, and cultural center for the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taldykorgan Target entity description: Taldykorgan is a city in southeastern Kazakhstan that serves as an important administrative, economic, and cultural center for the surrounding region.
-
A.
Chormaqan
Chormaqan was a prominent Mongol general of the early 13th century who led major campaigns in the Caucasus and the Middle East, consolidating Mongol control over the region.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Takhiatash
Takhiatash is an industrial city in western Uzbekistan known for its power plant and location near the Amu Darya River in the autonomous Republic of Karakalpakstan.
-
D.
Kurnub
Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
-
E.
Torgos
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f748dfd4f081908fd5d77fe70f9db4 |
completed | May 3, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74965c53081909c662f7f991849bf |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.