Triple
T23087382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bataysk |
E575645
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Батайск
Батайск — город в Ростовской области России, расположенный к югу от Ростова-на-Дону и являющийся важным транспортным узлом региона.
|
E1579383
|
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: Батайск | Statement: [Bataysk, hasNameInLanguage, Батайск]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Батайск Context triple: [Bataysk, hasNameInLanguage, Батайск]
-
A.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
B.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
C.
Belorechensk
Belorechensk is a town in Russia’s Krasnodar Krai known for its industrial enterprises and location near the Belaya River in the North Caucasus region.
-
D.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
E.
Budennovsk
Budennovsk is a town in Stavropol Krai, Russia, best known internationally as the site of a major 1995 Chechen terrorist hostage crisis at its main hospital.
- 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: Батайск Triple: [Bataysk, hasNameInLanguage, Батайск]
Generated description
Батайск — город в Ростовской области России, расположенный к югу от Ростова-на-Дону и являющийся важным транспортным узлом региона.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Батайск Target entity description: Батайск — город в Ростовской области России, расположенный к югу от Ростова-на-Дону и являющийся важным транспортным узлом региона.
-
A.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
B.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
C.
Belorechensk
Belorechensk is a town in Russia’s Krasnodar Krai known for its industrial enterprises and location near the Belaya River in the North Caucasus region.
-
D.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
E.
Budennovsk
Budennovsk is a town in Stavropol Krai, Russia, best known internationally as the site of a major 1995 Chechen terrorist hostage crisis at its main hospital.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da652ac819085919ade6dd7bce4 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c6940608190b6708bd52c07cff6 |
completed | May 19, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a0c4e669b6481909f198d1c51b68bf3 |
completed | May 19, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f011a188190b801f2ae0f134356 |
completed | May 19, 2026, 11:52 a.m. |
Created at: April 17, 2026, 3:57 p.m.