Triple

T3264914
Position Surface form Disambiguated ID Type / Status
Subject Rennes E68501 entity
Predicate hasTwinTown P919 FINISHED
Object Setif
Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
 E341555 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: Setif | Statement: [Rennes, hasTwinTown, Setif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Setif
Context triple: [Rennes, hasTwinTown, Setif]
  • A. The Crowds
    The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
  • B. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • C. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • D. Furiani
    Furiani is a commune on the French Mediterranean island of Corsica, known for its proximity to Bastia and its coastal setting.
  • E. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • 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: Setif
Triple: [Rennes, hasTwinTown, Setif]
Generated description
Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Setif
Target entity description: Sétif is a major city in northeastern Algeria known as an important commercial and agricultural center with a rich historical heritage.
  • A. The Crowds
    The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
  • B. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • C. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • D. Furiani
    Furiani is a commune on the French Mediterranean island of Corsica, known for its proximity to Bastia and its coastal setting.
  • E. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b29015e77481908c8b41fc3f75dd6f completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac133f648190a4040881db05a353 completed March 12, 2026, 12:05 p.m.
Created at: March 8, 2026, 3:09 p.m.