Triple

T14562399
Position Surface form Disambiguated ID Type / Status
Subject Ahmed Baba of Timbuktu E341698 entity
Predicate birthPlace P1 FINISHED
Object Arawan
Arawan is a historic Saharan desert town in present-day Mali that once served as an important stop on trans-Saharan trade routes.
 E1106688 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: Arawan | Statement: [Ahmed Baba of Timbuktu, birthPlace, Arawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arawan
Context triple: [Ahmed Baba of Timbuktu, birthPlace, Arawan]
  • A. Gyaur Kala
    Gyaur Kala is an ancient walled fortress and archaeological site within the historic oasis-city complex of Merv in present-day Turkmenistan.
  • B. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • C. Tenorio
    Tenorio is a Spanish-origin surname borne by various notable figures, including the Colombian independence leader Camilo Torres Tenorio.
  • D. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • E. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • 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: Arawan
Triple: [Ahmed Baba of Timbuktu, birthPlace, Arawan]
Generated description
Arawan is a historic Saharan desert town in present-day Mali that once served as an important stop on trans-Saharan trade routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arawan
Target entity description: Arawan is a historic Saharan desert town in present-day Mali that once served as an important stop on trans-Saharan trade routes.
  • A. Gyaur Kala
    Gyaur Kala is an ancient walled fortress and archaeological site within the historic oasis-city complex of Merv in present-day Turkmenistan.
  • B. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • C. Tenorio
    Tenorio is a Spanish-origin surname borne by various notable figures, including the Colombian independence leader Camilo Torres Tenorio.
  • D. Akrosh
    Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
  • E. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38afa8881909c9151b7620949ae completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac294748190a4bfeed8c5fd9e94 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c3678048190a23b509e963c1ade completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.