Triple

T23117706
Position Surface form Disambiguated ID Type / Status
Subject Kızıl Kule E576802 entity
Predicate nameMeaning P453 FINISHED
Object Red Tower 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: Red Tower | Statement: [Kızıl Kule, nameMeaning, Red Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Tower
Context triple: [Kızıl Kule, nameMeaning, Red Tower]
  • A. Red Tower
    The Red Tower is a historic architectural feature of the Electoral Palace complex in Trier, Germany, notable for its striking red façade and Baroque-era design.
  • B. Red Tower
    Red Tower is a historic medieval tower and landmark in the German city of Chemnitz.
  • C. Red Tower
    Red Tower is a historic defensive tower incorporated into the medieval city walls of York, England.
  • D. Red Tower chosen
    Red Tower is a historic 13th-century octagonal defense tower and iconic symbol of the coastal city of Alanya in southern Turkey.
  • E. The Red Tower
    The Red Tower is a metaphysical painting by Giorgio de Chirico that exemplifies his enigmatic cityscapes with stark architecture, long shadows, and a dreamlike, unsettling atmosphere.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4d095081908bad99fab6eaadd0 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.