Triple

T15978388
Position Surface form Disambiguated ID Type / Status
Subject Torit mutiny E387508 entity
Predicate location P40 FINISHED
Object Torit
Torit is a town in southeastern South Sudan that played a pivotal role in the country’s history as the site of the 1955 mutiny often seen as a precursor to the First Sudanese Civil War.
 E1188721 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: Torit | Statement: [Torit mutiny, location, Torit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torit
Context triple: [Torit mutiny, location, Torit]
  • A. Torae
    Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
  • B. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • C. Tora
    Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • D. Tobadak
    Tobadak is a town in West Sulawesi, Indonesia, that serves as the administrative and political center of Central Mamuju Regency.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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: Torit
Triple: [Torit mutiny, location, Torit]
Generated description
Torit is a town in southeastern South Sudan that played a pivotal role in the country’s history as the site of the 1955 mutiny often seen as a precursor to the First Sudanese Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torit
Target entity description: Torit is a town in southeastern South Sudan that played a pivotal role in the country’s history as the site of the 1955 mutiny often seen as a precursor to the First Sudanese Civil War.
  • A. Torae
    Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
  • B. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • C. Tora
    Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • D. Tobadak
    Tobadak is a town in West Sulawesi, Indonesia, that serves as the administrative and political center of Central Mamuju Regency.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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.