Triple

T1989777
Position Surface form Disambiguated ID Type / Status
Subject Harar Jugol E43224 entity
Predicate languageUsed P238 FINISHED
Object Harari
Harari is an Afroasiatic Semitic language traditionally spoken by the Harari people of the historic walled city of Harar in eastern Ethiopia.
 E221413 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: Harari | Statement: [Harar Jugol, languageUsed, Harari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harari
Context triple: [Harar Jugol, languageUsed, Harari]
  • A. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • B. Ha-Ari
    Ha-Ari is the honorific title of Isaac Luria, the 16th-century Jewish mystic whose teachings founded modern Lurianic Kabbalah.
  • C. Maran
    Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
  • D. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • E. Badiot
    Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
  • 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: Harari
Triple: [Harar Jugol, languageUsed, Harari]
Generated description
Harari is an Afroasiatic Semitic language traditionally spoken by the Harari people of the historic walled city of Harar in eastern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harari
Target entity description: Harari is an Afroasiatic Semitic language traditionally spoken by the Harari people of the historic walled city of Harar in eastern Ethiopia.
  • A. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • B. Ha-Ari
    Ha-Ari is the honorific title of Isaac Luria, the 16th-century Jewish mystic whose teachings founded modern Lurianic Kabbalah.
  • C. Maran
    Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
  • D. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • E. Badiot
    Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8434cec819087842e2c9537df9e completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0336177c8190bb9d3d921fff13e8 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03b52ed08190a8c8fb8f81073bb3 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0433b90c81909af348d9a3dcdbec completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.