Triple
T15776450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tashkent Region |
E382503
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object |
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
|
E1177990
|
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: Buka District | Statement: [Tashkent Region, containsDistrict, Buka District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buka District Context triple: [Tashkent Region, containsDistrict, Buka District]
-
A.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
B.
Hai District
Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
-
C.
Surobi District
Surobi District is an administrative district in Kabul Province, Afghanistan, known for its strategic location along key roads and the presence of major hydroelectric infrastructure.
-
D.
Chikan District
Chikan District is an urban administrative district and central area of Zhanjiang City in Guangdong Province, China.
-
E.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
- 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: Buka District Triple: [Tashkent Region, containsDistrict, Buka District]
Generated description
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buka District Target entity description: Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
-
A.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
B.
Hai District
Hai District is an administrative district in northern Tanzania situated within the Kilimanjaro Region, known for its proximity to Mount Kilimanjaro and its largely rural, agricultural communities.
-
C.
Surobi District
Surobi District is an administrative district in Kabul Province, Afghanistan, known for its strategic location along key roads and the presence of major hydroelectric infrastructure.
-
D.
Chikan District
Chikan District is an urban administrative district and central area of Zhanjiang City in Guangdong Province, China.
-
E.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998559088190b1f2942564a42ace |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a56d43c8190819deb48d59e16cb |
completed | May 9, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9acbd2b481908b9d415e26d0db81 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.