Triple

T8774575
Position Surface form Disambiguated ID Type / Status
Subject Insulaner hill E208544 entity
Predicate locatedNear P294 FINISHED
Object Munsterdamm
Munsterdamm is a street in Berlin, Germany, situated near the Insulaner hill in the city's southwestern area.
 E756294 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: Munsterdamm | Statement: [Insulaner hill, locatedNear, Munsterdamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Munsterdamm
Context triple: [Insulaner hill, locatedNear, Munsterdamm]
  • A. Seestraße
    Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
  • B. Untere Aller
    Untere Aller is the lower course of the Aller River in northern Germany, known for its floodplains, wetlands, and ecological significance.
  • C. Eckersbach
    Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
  • D. Rügendamm
    Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
  • E. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • 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: Munsterdamm
Triple: [Insulaner hill, locatedNear, Munsterdamm]
Generated description
Munsterdamm is a street in Berlin, Germany, situated near the Insulaner hill in the city's southwestern area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Munsterdamm
Target entity description: Munsterdamm is a street in Berlin, Germany, situated near the Insulaner hill in the city's southwestern area.
  • A. Seestraße
    Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
  • B. Untere Aller
    Untere Aller is the lower course of the Aller River in northern Germany, known for its floodplains, wetlands, and ecological significance.
  • C. Eckersbach
    Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
  • D. Rügendamm
    Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
  • E. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2ef3288190988bd69e8a02e741 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51c760b48190b2138cd2861b2c61 completed April 3, 2026, 5:36 a.m.
NEDg Description generation batch_69cf52f0886881909ceb9fbe54f84d11 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf53bc19fc81908f43c3fa29bae021 completed April 3, 2026, 5:44 a.m.
Created at: March 30, 2026, 6:41 p.m.