Triple

T8965178
Position Surface form Disambiguated ID Type / Status
Subject Kandern E214111 entity
Predicate hasSubdivision P747 FINISHED
Object Tannenkirch
Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
E768809 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: Tannenkirch | Statement: [Kandern, hasSubdivision, Tannenkirch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tannenkirch
Context triple: [Kandern, hasSubdivision, Tannenkirch]
  • A. Felsenkirche
    Felsenkirche is a historic hilltop Lutheran church in Lüderitz, Namibia, known for its striking Gothic Revival architecture and panoramic views over the coastal town.
  • B. Bergkirche
    Bergkirche is a historic Baroque pilgrimage church in Eisenstadt, Austria, best known for its association with composer Joseph Haydn and its distinctive hilltop setting.
  • C. Nunkirchen
    Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • D. Messkirch
    Messkirch is a small town in southwestern Germany best known as the birthplace of philosopher Martin Heidegger.
  • E. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • 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: Tannenkirch
Triple: [Kandern, hasSubdivision, Tannenkirch]
Generated description
Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tannenkirch
Target entity description: Tannenkirch is a village in the Black Forest region of southwestern Germany that forms one of the districts of the town of Kandern in Baden-Württemberg.
  • A. Felsenkirche
    Felsenkirche is a historic hilltop Lutheran church in Lüderitz, Namibia, known for its striking Gothic Revival architecture and panoramic views over the coastal town.
  • B. Bergkirche
    Bergkirche is a historic Baroque pilgrimage church in Eisenstadt, Austria, best known for its association with composer Joseph Haydn and its distinctive hilltop setting.
  • C. Nunkirchen
    Nunkirchen is a village and district of the town of Wadern in the Saarland region of western Germany.
  • D. Messkirch
    Messkirch is a small town in southwestern Germany best known as the birthplace of philosopher Martin Heidegger.
  • E. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95514408190ad442069daec0459 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfc9e01dc88190aeedcd9fb3281688 completed April 3, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfca4374c481909ceefcfb1a31bed2 completed April 3, 2026, 2:10 p.m.
Created at: March 30, 2026, 7:01 p.m.