Triple

T22481164
Position Surface form Disambiguated ID Type / Status
Subject 15 Temmuz Şehitler Köprüsü E555767 entity
Predicate designedBy P184 FINISHED
Object William Brown — 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: William Brown | Statement: [15 Temmuz Şehitler Köprüsü, designedBy, William Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Brown
Context triple: [15 Temmuz Şehitler Köprüsü, designedBy, William Brown]
  • A. William Brown
    William Brown was an American Revolutionary War soldier recognized as the first recipient of the Badge of Military Merit, a precursor to the modern Purple Heart.
  • B. William Brown
    William Brown is a civil engineer best known for designing Scotland’s Kessock Bridge, a prominent cable-stayed road bridge near Inverness.
  • C. William Brown chosen
    William Brown was an engineer best known for his role in designing Istanbul’s iconic Bosporus Bridge, one of the world’s major suspension bridges connecting Europe and Asia.
  • D. William Brown
    William Brown was a civil engineer known for his role in the design and construction of the Severn Bridge in the United Kingdom.
  • E. William Brown
    William Brown is an author known for contributing to the book "Around the Way Girl."
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c397b248190b36c2fbfa6489693 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.