Triple
T2745188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majdan Tatarski district of Lublin |
E60848
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Majdan Tatarski
Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
|
E294613
|
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: Majdan Tatarski | Statement: [Majdan Tatarski district of Lublin, hasAlternativeName, Majdan Tatarski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majdan Tatarski Context triple: [Majdan Tatarski district of Lublin, hasAlternativeName, Majdan Tatarski]
-
A.
Medgidia
Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
-
B.
Zavrazhye
Zavrazhye is a rural locality in Russia best known as the birthplace of renowned film director Andrei Tarkovsky.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Ostriv Zmiinyi
Ostriv Zmiinyi is a small but strategically important Ukrainian island in the Black Sea, widely known as Snake Island.
-
E.
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
- 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: Majdan Tatarski Triple: [Majdan Tatarski district of Lublin, hasAlternativeName, Majdan Tatarski]
Generated description
Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Majdan Tatarski Target entity description: Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
-
A.
Medgidia
Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
-
B.
Zavrazhye
Zavrazhye is a rural locality in Russia best known as the birthplace of renowned film director Andrei Tarkovsky.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Ostriv Zmiinyi
Ostriv Zmiinyi is a small but strategically important Ukrainian island in the Black Sea, widely known as Snake Island.
-
E.
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4d37a481908cc2ad4666f3ac94 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcebe788190aa2b40158b64b7b2 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbceb981c819095038ac01d98fb45 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd5e28f481909d82e42c33e4ef86 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:56 p.m.