Triple

T17059419
Position Surface form Disambiguated ID Type / Status
Subject Rokhele E413914 entity
Predicate spouse P13 FINISHED
Object Motele E656503 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: Motele | Statement: [Rokhele, spouse, Motele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motele
Context triple: [Rokhele, spouse, Motele]
  • A. Motele chosen
    Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
  • B. Khotso House
    Khotso House was a prominent Johannesburg building that served as the headquarters of the South African Council of Churches and became a key site of anti-apartheid activism.
  • C. Anhembi
    Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
  • D. Tsogo Sun
    Tsogo Sun is a major South African hospitality and gaming group that owns and operates hotels, casinos, and entertainment complexes across the country.
  • E. Dimbola Lodge
    Dimbola Lodge is a historic house and museum on the Isle of Wight best known as the former home and studio of pioneering Victorian photographer Julia Margaret Cameron.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7c21a881909bfb67080706612f completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012349b2c88190a5c5e06a5cae1ac5 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.