Triple

T11370995
Position Surface form Disambiguated ID Type / Status
Subject Garðabær E269339 entity
Predicate hasTwinTown P919 FINISHED
Object Rumia
Rumia is a town in northern Poland, located near the Baltic coast and forming part of the Gdynia–Sopot–Gdańsk metropolitan area.
 E921860 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: Rumia | Statement: [Garðabær, hasTwinTown, Rumia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rumia
Context triple: [Garðabær, hasTwinTown, Rumia]
  • A. Sanok
    Sanok is a historic town in southeastern Poland, known for its medieval heritage and open-air ethnographic museum showcasing the culture of the Carpathian region.
  • B. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • C. Slutsk
    Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Volnovakha
    Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
  • 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: Rumia
Triple: [Garðabær, hasTwinTown, Rumia]
Generated description
Rumia is a town in northern Poland, located near the Baltic coast and forming part of the Gdynia–Sopot–Gdańsk metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rumia
Target entity description: Rumia is a town in northern Poland, located near the Baltic coast and forming part of the Gdynia–Sopot–Gdańsk metropolitan area.
  • A. Sanok
    Sanok is a historic town in southeastern Poland, known for its medieval heritage and open-air ethnographic museum showcasing the culture of the Carpathian region.
  • B. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • C. Slutsk
    Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Volnovakha
    Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8b196881909af9b138661e816d completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568516a481909ea66cbe53968e84 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.