Triple

T16767099
Position Surface form Disambiguated ID Type / Status
Subject Hans Vaihinger E407493 entity
Predicate placeOfBirth P1 FINISHED
Object Nehren
Nehren is a small municipality in the Tübingen district of Baden-Württemberg, Germany.
E1231962 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: Nehren | Statement: [Hans Vaihinger, placeOfBirth, Nehren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nehren
Context triple: [Hans Vaihinger, placeOfBirth, Nehren]
  • A. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • B. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • C. Neuselhalden
    Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
  • D. Neusatz
    Neusatz is the historical German name for the Serbian city of Novi Sad, a major cultural and economic center on the Danube River.
  • E. Werthhoven
    Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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: Nehren
Triple: [Hans Vaihinger, placeOfBirth, Nehren]
Generated description
Nehren is a small municipality in the Tübingen district of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nehren
Target entity description: Nehren is a small municipality in the Tübingen district of Baden-Württemberg, Germany.
  • A. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • B. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • C. Neuselhalden
    Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
  • D. Neusatz
    Neusatz is the historical German name for the Serbian city of Novi Sad, a major cultural and economic center on the Danube River.
  • E. Werthhoven
    Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a5b3ce848190a73f06d9708bfc85 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.