Triple

T2983108
Position Surface form Disambiguated ID Type / Status
Subject Mont-Saint-Aignan E80556 entity
Predicate hasTwinTown P919 FINISHED
Object Brzeg Dolny
Brzeg Dolny is a small industrial town in southwestern Poland, located on the Oder River in the Lower Silesian Voivodeship.
 E317115 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: Brzeg Dolny | Statement: [Mont-Saint-Aignan, hasTwinTown, Brzeg Dolny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brzeg Dolny
Context triple: [Mont-Saint-Aignan, hasTwinTown, Brzeg Dolny]
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Dąbie
    Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
  • C. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • D. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Ustka
    Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
  • 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: Brzeg Dolny
Triple: [Mont-Saint-Aignan, hasTwinTown, Brzeg Dolny]
Generated description
Brzeg Dolny is a small industrial town in southwestern Poland, located on the Oder River in the Lower Silesian Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brzeg Dolny
Target entity description: Brzeg Dolny is a small industrial town in southwestern Poland, located on the Oder River in the Lower Silesian Voivodeship.
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Dąbie
    Dąbie is a small town in central Poland, located in the Łódź Voivodeship along the Ner River.
  • C. Trzebinia
    Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
  • D. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Ustka
    Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10b3967ac81908390d684f2fb23b2 completed March 11, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b10f312ec88190b632639acbd024dc completed March 11, 2026, 6:44 a.m.
Created at: March 8, 2026, 2:58 p.m.