Triple

T18618607
Position Surface form Disambiguated ID Type / Status
Subject Gojjam E455092 entity
Predicate traversedBy P225 FINISHED
Object Blue Nile 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: Blue Nile | Statement: [Gojjam, traversedBy, Blue Nile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Nile
Context triple: [Gojjam, traversedBy, Blue Nile]
  • A. Blue Nile chosen
    The Blue Nile is a major river in northeastern Africa that flows from Ethiopia into Sudan, forming a principal tributary of the Nile and playing a crucial role in the region’s agriculture and hydroelectric power.
  • B. Opal Stone Fine Jewelry
    Opal Stone Fine Jewelry is a luxury jewelry brand known for its elegant, high-end designs created by designer Opal Stone Perlman.
  • C. Diamond Garden
    Diamond Garden is a popular public park and recreational space located in the Chembur neighborhood of Mumbai, India.
  • D. Rapaport
    Rapaport is a surname most prominently associated with American actor and comedian Michael Rapaport.
  • E. Asscher diamond company
    Asscher diamond company is a renowned Dutch diamond-cutting and trading firm best known for developing the distinctive Asscher cut diamond.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:46 a.m.