Triple
T20524365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulchyn, Russian Empire |
E503895
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tulczyn
Tulczyn is a historic town in present-day Ukraine, known for its 18th-century Potocki Palace and its role in regional political and cultural life.
|
E1435925
|
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: Tulczyn | Statement: [Tulchyn, Russian Empire, hasAlternativeName, Tulczyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulczyn Context triple: [Tulchyn, Russian Empire, hasAlternativeName, Tulczyn]
-
A.
Szczebrzeszyn
Szczebrzeszyn is a small historic town in eastern Poland, known for its picturesque setting in the Roztocze region and its famous tongue-twister in the Polish language.
-
B.
Tułowice
Tułowice is a small town in southwestern Poland known historically for its ceramics and porcelain industry.
-
C.
Sulechów
Sulechów is a small town in western Poland, known as the birthplace of Nobel Prize–winning writer Olga Tokarczuk.
-
D.
Zagórzyce
Zagórzyce is a village in southeastern Poland located within the administrative district of Gmina Tuszów Narodowy.
-
E.
Trzebnica
Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
- 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: Tulczyn Triple: [Tulchyn, Russian Empire, hasAlternativeName, Tulczyn]
Generated description
Tulczyn is a historic town in present-day Ukraine, known for its 18th-century Potocki Palace and its role in regional political and cultural life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tulczyn Target entity description: Tulczyn is a historic town in present-day Ukraine, known for its 18th-century Potocki Palace and its role in regional political and cultural life.
-
A.
Szczebrzeszyn
Szczebrzeszyn is a small historic town in eastern Poland, known for its picturesque setting in the Roztocze region and its famous tongue-twister in the Polish language.
-
B.
Tułowice
Tułowice is a small town in southwestern Poland known historically for its ceramics and porcelain industry.
-
C.
Sulechów
Sulechów is a small town in western Poland, known as the birthplace of Nobel Prize–winning writer Olga Tokarczuk.
-
D.
Zagórzyce
Zagórzyce is a village in southeastern Poland located within the administrative district of Gmina Tuszów Narodowy.
-
E.
Trzebnica
Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d43c6588190a4be58521ca67698 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089e00cde081908dca3893f03e3398 |
completed | May 16, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e8a05488190b3470f4ffb5927ce |
completed | May 16, 2026, 4:42 p.m. |
Created at: April 16, 2026, 11:37 a.m.