Triple

T8834164
Position Surface form Disambiguated ID Type / Status
Subject Wadi Fira E210222 entity
Predicate hasSettlement P1068 FINISHED
Object Iriba
Iriba is a town in eastern Chad that serves as an important local center within the Wadi Fira region.
 E760056 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: Iriba | Statement: [Wadi Fira, hasSettlement, Iriba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iriba
Context triple: [Wadi Fira, hasSettlement, Iriba]
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • C. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • D. El Tarra
    El Tarra is a municipality and town in northeastern Colombia, located in the Norte de Santander Department near the border with Venezuela.
  • E. Somorja
    Somorja is the Hungarian name for Šamorín, a town in southwestern Slovakia known for its multicultural heritage and proximity to Bratislava.
  • 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: Iriba
Triple: [Wadi Fira, hasSettlement, Iriba]
Generated description
Iriba is a town in eastern Chad that serves as an important local center within the Wadi Fira region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iriba
Target entity description: Iriba is a town in eastern Chad that serves as an important local center within the Wadi Fira region.
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • C. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • D. El Tarra
    El Tarra is a municipality and town in northeastern Colombia, located in the Norte de Santander Department near the border with Venezuela.
  • E. Somorja
    Somorja is the Hungarian name for Šamorín, a town in southwestern Slovakia known for its multicultural heritage and proximity to Bratislava.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8975a6f481908ee435d0435c8ffb completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8a8e5db0819080e6fdc3d8322e94 completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:47 p.m.