Triple
T3508876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melun |
E74146
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Międzyrzecz
Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
|
E362510
|
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: Międzyrzecz | Statement: [Melun, twinnedWith, Międzyrzecz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Międzyrzecz Context triple: [Melun, twinnedWith, Międzyrzecz]
-
A.
Międzyrzec Podlaski
Międzyrzec Podlaski is a town in eastern Poland known for its historical multicultural heritage and location near important regional transport routes.
-
B.
Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
-
C.
Bytów
Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
-
D.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
E.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
- 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: Międzyrzecz Triple: [Melun, twinnedWith, Międzyrzecz]
Generated description
Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Międzyrzecz Target entity description: Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
-
A.
Międzyrzec Podlaski
Międzyrzec Podlaski is a town in eastern Poland known for its historical multicultural heritage and location near important regional transport routes.
-
B.
Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
-
C.
Bytów
Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
-
D.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
E.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e3cd808190807d4acae2942a9d |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b3746f1de4819091c5bcbf8a988ef1 |
completed | March 13, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b374f7274481909569a05060e6822c |
completed | March 13, 2026, 2:22 a.m. |
Created at: March 8, 2026, 3:18 p.m.