Triple

T31832410
Position Surface form Disambiguated ID Type / Status
Subject Khenchela E812571 entity
Predicate hasNameInTamazight P196665 FINISHED
Object Xensla
Xensla is the Tamazight (Berber) name for the Algerian city of Khenchela, located in the Aurès region of northeastern Algeria.
 E1979775 NE FINISHED

How this triple was built (3 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: Xensla | Statement: [Khenchela, hasNameInTamazight, Xensla]
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: Xensla
Triple: [Khenchela, hasNameInTamazight, Xensla]
Generated description
Xensla is the Tamazight (Berber) name for the Algerian city of Khenchela, located in the Aurès region of northeastern Algeria.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNameInTamazight
Context triple: [Khenchela, hasNameInTamazight, Xensla]
  • A. hasNameInArabic
    Indicates that an entity is associated with a specific name expressed in the Arabic language.
  • B. hasNameInTigrinya
    Indicates that an entity is associated with a specific name expressed in the Tigrinya language.
  • C. nameInTamasheq
    Indicates that an entity is known or referred to by a particular name in the Tamasheq language.
  • D. hasLadinName
    Indicates that an entity is associated with a specific name expressed in the Ladin language.
  • E. hasNameInTatar
    Indicates that an entity has a specific name expressed in the Tatar language.
  • F. None of above. chosen

Provenance (7 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe610e1f6881908f10070ba64643cf completed May 8, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e65a46ac081909b1842be063e0e12 completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e66d85dc481908d7a51e1b0747601 completed June 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a2e678bedb48190b9f7728aa5606420 completed June 14, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69fe604c6c008190ad659e9b9fa82f7b completed May 8, 2026, 10:14 p.m.
PDg Predicate description generation batch_69fe610d75a48190bfd08a9bb957fcd3 completed May 8, 2026, 10:17 p.m.
Created at: April 30, 2026, 11:47 p.m.