Triple

T17256669
Position Surface form Disambiguated ID Type / Status
Subject War in Sudan E418898 entity
Predicate involvesRegion P285 FINISHED
Object Blue Nile E38215 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: Blue Nile | Statement: [War in Sudan, involvesRegion, Blue Nile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Nile
Context triple: [War in Sudan, involvesRegion, 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. Driscoll’s Diamonds
    Driscoll’s Diamonds is a crime novel by American author Marvin H. Albert, known for its hardboiled style and fast-paced, suspenseful plotting.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.