Triple

T22173722
Position Surface form Disambiguated ID Type / Status
Subject Johannistor@de E547987 entity
Predicate hasPart P35 FINISHED
Object string "Johannistor" NE NERFINISHED

How this triple was built (2 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: string "Johannistor" | Statement: [Johannistor@de, hasPart, string "Johannistor"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: string "Johannistor"
Context triple: [Johannistor@de, hasPart, string "Johannistor"]
  • A. Johannistor@de chosen
    Johannistor@de is the German-language designation of the historical city gate known as the Johannistor.
  • B. Johannitsa
    Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
  • C. Johanniskirche
    Johanniskirche is a historic church in the German town of Schwäbisch Gmünd, notable for its medieval architecture and cultural significance.
  • D. Johannsson
    Johannsson is a character in August Strindberg’s expressionist play "The Ghost Sonata," contributing to its eerie, dreamlike exploration of guilt and illusion.
  • E. Johanneskirchen
    Johanneskirchen is a residential district in the northeastern part of Munich, Germany, known for its mix of housing, green spaces, and S-Bahn connectivity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.