Triple

T15978322
Position Surface form Disambiguated ID Type / Status
Subject Anyanya E387506 entity
Predicate alsoKnownAs P39 FINISHED
Object Anya-Nya
Anya-Nya was a Southern Sudanese separatist rebel movement that fought against the Sudanese government during the First Sudanese Civil War (1955–1972).
E1188717 NE FINISHED

How this triple was built (4 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: Anya-Nya | Statement: [Anyanya, alsoKnownAs, Anya-Nya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anya-Nya
Context triple: [Anyanya, alsoKnownAs, Anya-Nya]
  • A. Nanikai
    Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
  • B. Aneka
    Aneka is a skilled Wakandan warrior and former leader of the Dora Milaje in Marvel Comics, known for her defiance of tradition and partnership with fellow warrior Ayo.
  • C. Nari Nari
    Nari Nari is an Australian Aboriginal language traditionally spoken by the Nari Nari people of southwestern New South Wales.
  • D. Nyanya
    Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
  • E. Anyuak
    The Anyuak are a Nilotic ethnic group primarily inhabiting parts of South Sudan and western Ethiopia, known for their agro-pastoral lifestyle and rich oral traditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anya-Nya
Triple: [Anyanya, alsoKnownAs, Anya-Nya]
Generated description
Anya-Nya was a Southern Sudanese separatist rebel movement that fought against the Sudanese government during the First Sudanese Civil War (1955–1972).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anya-Nya
Target entity description: Anya-Nya was a Southern Sudanese separatist rebel movement that fought against the Sudanese government during the First Sudanese Civil War (1955–1972).
  • A. Nanikai
    Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
  • B. Aneka
    Aneka is a skilled Wakandan warrior and former leader of the Dora Milaje in Marvel Comics, known for her defiance of tradition and partnership with fellow warrior Ayo.
  • C. Nari Nari
    Nari Nari is an Australian Aboriginal language traditionally spoken by the Nari Nari people of southwestern New South Wales.
  • D. Nyanya
    Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
  • E. Anyuak
    The Anyuak are a Nilotic ethnic group primarily inhabiting parts of South Sudan and western Ethiopia, known for their agro-pastoral lifestyle and rich oral traditions.
  • F. None of above. chosen

Provenance (5 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_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc7fb8f308190b649a64c344884b0 completed May 9, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69ffc83b4c648190bce41afbd6547fc1 completed May 9, 2026, 11:50 p.m.
Created at: April 10, 2026, 4:54 a.m.