Triple

T3686004
Position Surface form Disambiguated ID Type / Status
Subject Spandau E78225 entity
Predicate hasSubdivision P747 FINISHED
Object Kladow
Kladow is a village-like district on the southwestern edge of Berlin, known for its lakeside location on the Havel and its green, suburban character.
 E379227 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: Kladow | Statement: [Spandau, hasSubdivision, Kladow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kladow
Context triple: [Spandau, hasSubdivision, Kladow]
  • A. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • B. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • C. Kotelniki
    Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
  • D. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • E. Kuchlak
    Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
  • 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: Kladow
Triple: [Spandau, hasSubdivision, Kladow]
Generated description
Kladow is a village-like district on the southwestern edge of Berlin, known for its lakeside location on the Havel and its green, suburban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kladow
Target entity description: Kladow is a village-like district on the southwestern edge of Berlin, known for its lakeside location on the Havel and its green, suburban character.
  • A. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • B. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • C. Kotelniki
    Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
  • D. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • E. Kuchlak
    Kuchlak is a town in Balochistan, Pakistan, situated near Quetta and known as a local commercial and transit hub in the region.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3bd473c8190b814689f3c76cada completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c463b53c8190b3333fda95862545 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c4ee4db88190810a1d49d757b2b6 completed March 14, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:26 p.m.