Triple
T9510194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Płock |
E229370
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Mozyr
Mozyr is a city in southern Belarus known as an important regional industrial and cultural center on the Pripyat River.
|
E805580
|
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: Mozyr | Statement: [Płock, twinTown, Mozyr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mozyr Context triple: [Płock, twinTown, Mozyr]
-
A.
Polotsk
Polotsk is one of the oldest cities in Belarus, historically a major political, cultural, and religious center of the medieval East Slavic world.
-
B.
Nesvizh
Nesvizh is a historic town in Belarus renowned for the UNESCO-listed Nesvizh Castle, a former Radziwiłł family residence and one of the country’s most important architectural and cultural landmarks.
-
C.
Vitebsk
Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
-
D.
Slutsk
Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
-
E.
Novopolotsk
Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
- 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: Mozyr Triple: [Płock, twinTown, Mozyr]
Generated description
Mozyr is a city in southern Belarus known as an important regional industrial and cultural center on the Pripyat River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mozyr Target entity description: Mozyr is a city in southern Belarus known as an important regional industrial and cultural center on the Pripyat River.
-
A.
Polotsk
Polotsk is one of the oldest cities in Belarus, historically a major political, cultural, and religious center of the medieval East Slavic world.
-
B.
Nesvizh
Nesvizh is a historic town in Belarus renowned for the UNESCO-listed Nesvizh Castle, a former Radziwiłł family residence and one of the country’s most important architectural and cultural landmarks.
-
C.
Vitebsk
Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
-
D.
Slutsk
Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
-
E.
Novopolotsk
Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c1092bc8190917d71e2b6f62c25 |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14d44b7f08190b66fecb315b37535 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14e0823e881908ed723d20f14789b |
completed | April 4, 2026, 5:44 p.m. |
Created at: March 30, 2026, 7:58 p.m.