Triple

T4163198
Position Surface form Disambiguated ID Type / Status
Subject U3 E91577 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Plärrer E93919 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: Plärrer | Statement: [U3, hasInterchangeStation, Plärrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plärrer
Context triple: [U3, hasInterchangeStation, Plärrer]
  • A. Plärrer chosen
    Plärrer is a major underground station and transport hub in Nuremberg’s U-Bahn network, serving as an important interchange point for multiple metro lines.
  • B. Priller
    Priller is a German surname most notably associated with Josef Priller, a famous Luftwaffe fighter ace of World War II.
  • C. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • D. Gjallarhorn
    Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
  • E. Horns
    Horns is a dark fantasy-horror novel by Joe Hill that follows a man who mysteriously grows devilish horns and gains disturbing supernatural powers after being accused of his girlfriend’s murder.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a9bf348190b99cecd19fe65779 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ec8a60819099647577b7ab9be1 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:44 p.m.