Triple
T10284101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivne Oblast |
E241181
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Varash
Varash is a city in western Ukraine known for hosting the Rivne Nuclear Power Plant and serving as an important industrial and energy center in Rivne Oblast.
|
E852611
|
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: Varash | Statement: [Rivne Oblast, contains, Varash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varash Context triple: [Rivne Oblast, contains, Varash]
-
A.
Varsham
Varsham is a 2004 Telugu romantic action film that significantly boosted actor Prabhas's popularity in the Indian film industry.
-
B.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
C.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
-
D.
Varamin
Varamin is a historic city in northern Iran, known for its agricultural importance and notable Islamic architecture, including the Jameh Mosque of Varamin.
-
E.
Durov
Durov is a Russian surname most prominently associated with Pavel Durov, the entrepreneur and founder of the social networking site VKontakte and the messaging app Telegram.
- 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: Varash Triple: [Rivne Oblast, contains, Varash]
Generated description
Varash is a city in western Ukraine known for hosting the Rivne Nuclear Power Plant and serving as an important industrial and energy center in Rivne Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varash Target entity description: Varash is a city in western Ukraine known for hosting the Rivne Nuclear Power Plant and serving as an important industrial and energy center in Rivne Oblast.
-
A.
Varsham
Varsham is a 2004 Telugu romantic action film that significantly boosted actor Prabhas's popularity in the Indian film industry.
-
B.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
C.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
-
D.
Varamin
Varamin is a historic city in northern Iran, known for its agricultural importance and notable Islamic architecture, including the Jameh Mosque of Varamin.
-
E.
Durov
Durov is a Russian surname most prominently associated with Pavel Durov, the entrepreneur and founder of the social networking site VKontakte and the messaging app Telegram.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f83c3c488190b728783bc260b006 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:39 a.m.