Triple

T16561042
Position Surface form Disambiguated ID Type / Status
Subject Calw district E402337 entity
Predicate containsTown P847 FINISHED
Object Bad Liebenzell E423250 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 Liebenzell | Statement: [Calw district, containsTown, Bad Liebenzell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Liebenzell
Context triple: [Calw district, containsTown, Bad Liebenzell]
  • A. Bad Liebenzell chosen
    Bad Liebenzell is a spa town in the Black Forest region of Baden-Württemberg, Germany, known for its thermal baths and scenic location along the Nagold River.
  • B. Bad Cannstatt
    Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
  • C. Bad Säckingen
    Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
  • D. Bad Schönau
    Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
  • E. Bad Schussenried
    Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576d88288190b33543bea4706a36 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067be809c81909c93eb1253fbf8e5 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.