Triple
T20370618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khorezm Region |
E497040
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Qoʻshkoʻpir
Qoʻshkoʻpir is a town in western Uzbekistan that serves as a local administrative and population center within the Khorezm Region.
|
E1427162
|
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: Qoʻshkoʻpir | Statement: [Khorezm Region, containsTown, Qoʻshkoʻpir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qoʻshkoʻpir Context triple: [Khorezm Region, containsTown, Qoʻshkoʻpir]
-
A.
Ankober
Ankober is a historic mountain town in central Ethiopia that once served as a royal seat and key political center of the Shewan kingdom.
-
B.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
C.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
-
D.
Feodosia
Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
-
E.
Shebekino
Shebekino is a town in western Russia near the Ukrainian border, known as an industrial center within Belgorod Oblast.
- 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: Qoʻshkoʻpir Triple: [Khorezm Region, containsTown, Qoʻshkoʻpir]
Generated description
Qoʻshkoʻpir is a town in western Uzbekistan that serves as a local administrative and population center within the Khorezm Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qoʻshkoʻpir Target entity description: Qoʻshkoʻpir is a town in western Uzbekistan that serves as a local administrative and population center within the Khorezm Region.
-
A.
Ankober
Ankober is a historic mountain town in central Ethiopia that once served as a royal seat and key political center of the Shewan kingdom.
-
B.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
C.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
-
D.
Feodosia
Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
-
E.
Shebekino
Shebekino is a town in western Russia near the Ukrainian border, known as an industrial center within Belgorod Oblast.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678758b98819082c6440e03ad1615 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08708f2b00819084806af8cf9c9e10 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a08717357a881908ba83d104fc3f228 |
completed | May 16, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087267236c81908c91359f270fb17e |
completed | May 16, 2026, 1:34 p.m. |
Created at: April 16, 2026, 11:26 a.m.