Triple
T11087385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukhara Region |
E262156
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
|
E904058
|
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: Kogon | Statement: [Bukhara Region, hasCity, Kogon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kogon Context triple: [Bukhara Region, hasCity, Kogon]
-
A.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
B.
Gizo
Gizo is a small island town in the Solomon Islands known as an administrative and commercial hub in the western part of the country and a popular base for diving and marine tourism.
-
C.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
D.
Tatoga
Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
-
E.
Kosh
Kosh is a British album cover designer best known for creating iconic rock artwork, including covers for artists like The Beatles and The Eagles.
- 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: Kogon Triple: [Bukhara Region, hasCity, Kogon]
Generated description
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kogon Target entity description: Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
-
A.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
B.
Gizo
Gizo is a small island town in the Solomon Islands known as an administrative and commercial hub in the western part of the country and a popular base for diving and marine tourism.
-
C.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
D.
Tatoga
Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
-
E.
Kosh
Kosh is a British album cover designer best known for creating iconic rock artwork, including covers for artists like The Beatles and The Eagles.
- 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_69d799c5008081908f59612243fa4f7a |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7a6dfa8819096f822294eb64dd1 |
completed | April 18, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.