Triple
T16592877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgorod Oblast |
E403133
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Gubkin
Gubkin is a mining-oriented city in western Russia known for its iron ore industry and location within Belgorod Oblast.
|
E1222555
|
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: Gubkin | Statement: [Belgorod Oblast, hasCity, Gubkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gubkin Context triple: [Belgorod Oblast, hasCity, Gubkin]
-
A.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Golovin
Golovin is a Russian surname historically borne by various notable figures in politics, the military, and the arts.
-
D.
Gogolin
Gogolin is a small town in southwestern Poland known for its Silesian cultural heritage and location within the Opole region.
-
E.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
- 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: Gubkin Triple: [Belgorod Oblast, hasCity, Gubkin]
Generated description
Gubkin is a mining-oriented city in western Russia known for its iron ore industry and location within Belgorod Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gubkin Target entity description: Gubkin is a mining-oriented city in western Russia known for its iron ore industry and location within Belgorod Oblast.
-
A.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Golovin
Golovin is a Russian surname historically borne by various notable figures in politics, the military, and the arts.
-
D.
Gogolin
Gogolin is a small town in southwestern Poland known for its Silesian cultural heritage and location within the Opole region.
-
E.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759dea5c819083fe9fb7dee37a35 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:16 a.m.