Triple

T14521227
Position Surface form Disambiguated ID Type / Status
Subject Rainer Werner Fassbinder E340654 entity
Predicate birthPlace P1 FINISHED
Object Bad Wörishofen E752350 NE FINISHED

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: Bad Wörishofen | Statement: [Rainer Werner Fassbinder, birthPlace, Bad Wörishofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Wörishofen
Context triple: [Rainer Werner Fassbinder, birthPlace, Bad Wörishofen]
  • A. Bad Wörishofen chosen
    Bad Wörishofen is a spa town in Bavaria, Germany, renowned as the birthplace of Sebastian Kneipp’s hydrotherapy and wellness treatments.
  • B. Bad Schönau
    Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
  • C. Bad Schussenried
    Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
  • D. Bad Füssing
    Bad Füssing is a German spa town in Bavaria renowned for its thermal baths and health tourism.
  • E. Bad Wiessee
    Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4da6908190a3e2cae16f6240d9 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.