Triple
T20370616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khorezm Region |
E497040
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Yangibozor
Yangibozor is a town in western Uzbekistan located within the Khorezm Region.
|
E1427160
|
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: Yangibozor | Statement: [Khorezm Region, containsTown, Yangibozor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yangibozor Context triple: [Khorezm Region, containsTown, Yangibozor]
-
A.
Yamburg
Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
-
B.
Yozgat
Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
-
C.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
D.
Khunzakh
Khunzakh is a historic mountain village and former stronghold in Dagestan, Russia, traditionally associated with the Avar people and their culture.
-
E.
Zangezur
Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
- 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: Yangibozor Triple: [Khorezm Region, containsTown, Yangibozor]
Generated description
Yangibozor is a town in western Uzbekistan located within the Khorezm Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yangibozor Target entity description: Yangibozor is a town in western Uzbekistan located within the Khorezm Region.
-
A.
Yamburg
Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
-
B.
Yozgat
Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
-
C.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
-
D.
Khunzakh
Khunzakh is a historic mountain village and former stronghold in Dagestan, Russia, traditionally associated with the Avar people and their culture.
-
E.
Zangezur
Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
- 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.