Triple

T9717574
Position Surface form Disambiguated ID Type / Status
Subject Reszel E235380 entity
Predicate formerName P65 FINISHED
Object Rößel
Rößel is the former German name of the historic town now known as Reszel, located in northeastern Poland.
E832485 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: Rößel | Statement: [Reszel, formerName, Rößel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rößel
Context triple: [Reszel, formerName, Rößel]
  • A. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • B. Roßleben
    Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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: Rößel
Triple: [Reszel, formerName, Rößel]
Generated description
Rößel is the former German name of the historic town now known as Reszel, located in northeastern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rößel
Target entity description: Rößel is the former German name of the historic town now known as Reszel, located in northeastern Poland.
  • A. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • B. Roßleben
    Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3d75e08190b4d86363595bd40d completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23cd89d1c8190aedab60e3f5088b3 completed April 5, 2026, 10:43 a.m.
NEDg Description generation batch_69d23e6ca3908190b7ad7b932ab35ad7 completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d241020074819092bc2deea85a6ac0 completed April 5, 2026, 11:01 a.m.
Created at: March 30, 2026, 8:20 p.m.