Triple

T9066859
Position Surface form Disambiguated ID Type / Status
Subject Bedawiyet E217265 entity
Predicate alternativeName P39 FINISHED
Object Bidhaawyeet
Bidhaawyeet is an alternative name for the Beja (Bedawiyet) language spoken by the Beja people in parts of Northeast Africa.
E776017 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: Bidhaawyeet | Statement: [Bedawiyet, alternativeName, Bidhaawyeet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bidhaawyeet
Context triple: [Bedawiyet, alternativeName, Bidhaawyeet]
  • A. Busayrah
    Busayrah is a town in eastern Syria situated along the Khabur River, historically important as a local agricultural and trading center.
  • B. Baidehisha Bilasa
    Baidehisha Bilasa is a celebrated Odia poetic work renowned for its ornate language and lyrical style, composed by the eminent poet Upendra Bhanja.
  • C. Baidoa
    Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
  • D. Migadāya
    Migadāya is the Deer Park near Sarnath in India, revered in Buddhism as the site where the Buddha delivered his first sermon and set in motion the Wheel of Dharma.
  • E. Héwa
    Héwa is an alternative name for the Hewa language, a Papuan language spoken by indigenous communities in Papua New Guinea.
  • 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: Bidhaawyeet
Triple: [Bedawiyet, alternativeName, Bidhaawyeet]
Generated description
Bidhaawyeet is an alternative name for the Beja (Bedawiyet) language spoken by the Beja people in parts of Northeast Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bidhaawyeet
Target entity description: Bidhaawyeet is an alternative name for the Beja (Bedawiyet) language spoken by the Beja people in parts of Northeast Africa.
  • A. Busayrah
    Busayrah is a town in eastern Syria situated along the Khabur River, historically important as a local agricultural and trading center.
  • B. Baidehisha Bilasa
    Baidehisha Bilasa is a celebrated Odia poetic work renowned for its ornate language and lyrical style, composed by the eminent poet Upendra Bhanja.
  • C. Baidoa
    Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
  • D. Migadāya
    Migadāya is the Deer Park near Sarnath in India, revered in Buddhism as the site where the Buddha delivered his first sermon and set in motion the Wheel of Dharma.
  • E. Héwa
    Héwa is an alternative name for the Hewa language, a Papuan language spoken by indigenous communities in Papua New Guinea.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:11 p.m.