Triple

T14391983
Position Surface form Disambiguated ID Type / Status
Subject Bachama E356864 entity
Predicate hasSettlement P1068 FINISHED
Object Lafiya
Lafiya is a town associated with the Bachama people in Nigeria, serving as one of their local settlements.
E1099039 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: Lafiya | Statement: [Bachama, hasSettlement, Lafiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafiya
Context triple: [Bachama, hasSettlement, Lafiya]
  • A. Sufriyya
    Sufriyya is a historical Islamic sect that emerged as a moderate branch of the Kharijites, known for its distinct theological and political positions in early Islamic history.
  • B. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • C. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Ad-Dawr
    Ad-Dawr is a small town in Iraq’s Salah ad Din Governorate, known for its association with senior Ba'athist figures from the Saddam Hussein era.
  • 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: Lafiya
Triple: [Bachama, hasSettlement, Lafiya]
Generated description
Lafiya is a town associated with the Bachama people in Nigeria, serving as one of their local settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lafiya
Target entity description: Lafiya is a town associated with the Bachama people in Nigeria, serving as one of their local settlements.
  • A. Sufriyya
    Sufriyya is a historical Islamic sect that emerged as a moderate branch of the Kharijites, known for its distinct theological and political positions in early Islamic history.
  • B. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • C. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Ad-Dawr
    Ad-Dawr is a small town in Iraq’s Salah ad Din Governorate, known for its association with senior Ba'athist figures from the Saddam Hussein era.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
NEDg Description generation batch_69fd5d8c0e4881908dac3fb5a5ac79bc completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e46c184819092ebb2b5aad28125 completed May 8, 2026, 3:53 a.m.
Created at: April 10, 2026, 1:16 a.m.