Triple

T20788872
Position Surface form Disambiguated ID Type / Status
Subject Block IV E511715 entity
Predicate locatedNear P294 FINISHED
Object Binz (Rügen)
Binz (Rügen) is a popular seaside resort town on Germany’s Baltic Sea island of Rügen, known for its sandy beaches and historic resort architecture.
E1460156 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: Binz (Rügen) | Statement: [Block IV, locatedNear, Binz (Rügen)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binz (Rügen)
Context triple: [Block IV, locatedNear, Binz (Rügen)]
  • A. Sassnitz
    Sassnitz is a port town on the Baltic Sea coast of Germany, located on the island of Rügen and known as a gateway to nearby national parks and chalk cliffs.
  • B. Stolpmünde
    Stolpmünde is the former German name for the Baltic Sea port town now known as Ustka in northern Poland.
  • C. Ueckermünde
    Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
  • D. Maienwerder
    Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
  • E. Hiddensee
    Hiddensee is a car-free German Baltic Sea island known for its unspoiled nature, sandy beaches, and role as a tranquil holiday destination west of Rügen.
  • 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: Binz (Rügen)
Triple: [Block IV, locatedNear, Binz (Rügen)]
Generated description
Binz (Rügen) is a popular seaside resort town on Germany’s Baltic Sea island of Rügen, known for its sandy beaches and historic resort architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Binz (Rügen)
Target entity description: Binz (Rügen) is a popular seaside resort town on Germany’s Baltic Sea island of Rügen, known for its sandy beaches and historic resort architecture.
  • A. Sassnitz
    Sassnitz is a port town on the Baltic Sea coast of Germany, located on the island of Rügen and known as a gateway to nearby national parks and chalk cliffs.
  • B. Stolpmünde
    Stolpmünde is the former German name for the Baltic Sea port town now known as Ustka in northern Poland.
  • C. Ueckermünde
    Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
  • D. Maienwerder
    Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
  • E. Hiddensee
    Hiddensee is a car-free German Baltic Sea island known for its unspoiled nature, sandy beaches, and role as a tranquil holiday destination west of Rügen.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28dfb8c8190a10289c157a61c67 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fa0ead0819082c81791b45f3a42 completed May 17, 2026, 3:01 a.m.
NEDg Description generation batch_6a09303989d481908bad2a96a2e5b965 completed May 17, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0930f553c88190a2217400662f6841 completed May 17, 2026, 3:07 a.m.
Created at: April 16, 2026, 12:38 p.m.