Triple

T12749819
Position Surface form Disambiguated ID Type / Status
Subject Kröpeliner Tor E304699 entity
Predicate namedAfter P63 FINISHED
Object Kröpelin
Kröpelin is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, historically significant enough to lend its name to the famous Kröpeliner Tor city gate in nearby Rostock.
 E1001288 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: Kröpelin | Statement: [Kröpeliner Tor, namedAfter, Kröpelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kröpelin
Context triple: [Kröpeliner Tor, namedAfter, Kröpelin]
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Bleichert
    Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
  • D. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • E. Spangenberg
    Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
  • 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: Kröpelin
Triple: [Kröpeliner Tor, namedAfter, Kröpelin]
Generated description
Kröpelin is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, historically significant enough to lend its name to the famous Kröpeliner Tor city gate in nearby Rostock.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kröpelin
Target entity description: Kröpelin is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, historically significant enough to lend its name to the famous Kröpeliner Tor city gate in nearby Rostock.
  • A. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Bleichert
    Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
  • D. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • E. Spangenberg
    Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d663fd08190a00b30a7ff260c70 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:27 p.m.