Triple

T7981570
Position Surface form Disambiguated ID Type / Status
Subject View of Toledo E185581 entity
Predicate title P38 FINISHED
Object View of Toledo E185581 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: View of Toledo | Statement: [View of Toledo, title, View of Toledo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: View of Toledo
Context triple: [View of Toledo, title, View of Toledo]
  • A. View of Toledo chosen
    View of Toledo is a dramatic, late 16th-century landscape painting by El Greco that portrays the Spanish city of Toledo under a turbulent, expressive sky.
  • B. Toledo city walls
    The Toledo city walls are a historic defensive fortification encircling the old city of Toledo, Spain, dating back to Roman times and expanded through the Visigothic, Muslim, and Christian periods.
  • C. Toledo
    Toledo is a major city in northwestern Ohio, known as an industrial and transportation hub on the western end of Lake Erie.
  • D. Toledo
    Toledo is a historic Spanish city renowned for its medieval architecture, cultural heritage, and role as a major political and religious center in Spain’s history.
  • E. Monument to Columbus
    The Monument to Columbus is a public memorial dedicated to the explorer Christopher Columbus, commemorating his historical voyages and legacy.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c28cb108190bca697600bbbf53b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc567cfe548190bbd163a32c340bcc completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:15 p.m.