Triple

T10694666
Position Surface form Disambiguated ID Type / Status
Subject Waldemar E252102 entity
Predicate hasDiminutiveOrShortForm P456 FINISHED
Object Walde
Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
E880669 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: Walde | Statement: [Waldemar, hasDiminutiveOrShortForm, Walde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walde
Context triple: [Waldemar, hasDiminutiveOrShortForm, Walde]
  • A. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • B. Wilsede
    Wilsede is a small village in the Lüneburg Heath region of Lower Saxony, Germany, known for its well-preserved heathland landscape and traditional car-free character.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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: Walde
Triple: [Waldemar, hasDiminutiveOrShortForm, Walde]
Generated description
Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walde
Target entity description: Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
  • A. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • B. Wilsede
    Wilsede is a small village in the Lüneburg Heath region of Lower Saxony, Germany, known for its well-preserved heathland landscape and traditional car-free character.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Vogelthal
    Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998cfeb748190bfff06534d83cf97 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:11 p.m.