Triple

T15978501
Position Surface form Disambiguated ID Type / Status
Subject Anyanya guerrilla movement E387510 entity
Predicate militaryBranch P253 FINISHED
Object Anyanya Army E1188718 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: Anyanya Army | Statement: [Anyanya guerrilla movement, militaryBranch, Anyanya Army]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anyanya Army
Context triple: [Anyanya guerrilla movement, militaryBranch, Anyanya Army]
  • A. Anyanya Army chosen
    The Anyanya Army was the southern Sudanese separatist rebel force that fought against the Khartoum government during the First Sudanese Civil War.
  • B. Anyanya Rebellion
    The Anyanya Rebellion was a southern Sudanese separatist insurgency that fought against the northern-dominated government during the First Sudanese Civil War from 1955 to 1972.
  • C. Stone Army
    The Stone Army is a formidable legion of stone warriors in the Lego Ninjago universe, serving as powerful antagonists to the ninja heroes.
  • D. Armilla
    Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
  • E. The Troops
    "The Troops" is a World War I poem by Siegfried Sassoon that bitterly portrays the physical and psychological devastation of soldiers returning from the front.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575362e081909ff36e4d3c15ff2f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.