Triple

T4629957
Position Surface form Disambiguated ID Type / Status
Subject Rhineland-Palatinate E101388 entity
Predicate contains P35 FINISHED
Object Bad Kreuznach E436807 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 Kreuznach | Statement: [Rhineland-Palatinate, contains, Bad Kreuznach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Kreuznach
Context triple: [Rhineland-Palatinate, contains, Bad Kreuznach]
  • A. Bad Kreuznach chosen
    Bad Kreuznach is a historic spa town in western Germany known for its saline springs, medieval architecture, and picturesque location along the Nahe River.
  • B. Bad Schwalbach
    Bad Schwalbach is a spa town in the German state of Hesse, known for its mineral springs and location in the Taunus mountains.
  • C. Bad Wurzach
    Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
  • D. Bad Cannstatt
    Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
  • E. Neustadt an der Weinstraße
    Neustadt an der Weinstraße is a historic wine-producing town in southwestern Germany, renowned for its role in the Palatinate wine region and its well-preserved old town.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a316ef48190831970ec914cf5a2 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab992148190a1b1dfa33b971d11 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.