Triple

T8058289
Position Surface form Disambiguated ID Type / Status
Subject turn (Kehre) in Heidegger’s philosophy E188053 entity
Predicate hasGermanName P1435 FINISHED
Object Kehre
Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
 E707162 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: Kehre | Statement: [turn (Kehre) in Heidegger’s philosophy, hasGermanName, Kehre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kehre
Context triple: [turn (Kehre) in Heidegger’s philosophy, hasGermanName, Kehre]
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • C. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • D. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • 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: Kehre
Triple: [turn (Kehre) in Heidegger’s philosophy, hasGermanName, Kehre]
Generated description
Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kehre
Target entity description: Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • C. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • D. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa51adc8190b9327441bd8b9fb3 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572a87788190a92f96f7b9c43f2a completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58ee56108190b93f0bf6bbb0321c completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.