Triple

T20765105
Position Surface form Disambiguated ID Type / Status
Subject Omotic E511073 entity
Predicate hasSubgroup P747 FINISHED
Object Ta-Ne
Ta-Ne is a lesser-known Omotic language subgroup spoken by communities in southwestern Ethiopia.
 E1449680 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: Ta-Ne | Statement: [Omotic, hasSubgroup, Ta-Ne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ta-Ne
Context triple: [Omotic, hasSubgroup, Ta-Ne]
  • A. Ta-Ha
    Ta-Ha is a chapter (Surah 20) of the Qur’an known for its eloquent narration of the stories of prophets—especially Moses—and its themes of divine guidance, mercy, and spiritual reflection.
  • B. Tavo
    Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
  • C. Tayk
    Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
  • D. Tarkani
    Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
  • E. Tachara
    Tachara is an ancient Achaemenid palace at Persepolis, built by Darius the Great and notable for its finely carved reliefs and well-preserved stonework.
  • 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: Ta-Ne
Triple: [Omotic, hasSubgroup, Ta-Ne]
Generated description
Ta-Ne is a lesser-known Omotic language subgroup spoken by communities in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ta-Ne
Target entity description: Ta-Ne is a lesser-known Omotic language subgroup spoken by communities in southwestern Ethiopia.
  • A. Ta-Ha
    Ta-Ha is a chapter (Surah 20) of the Qur’an known for its eloquent narration of the stories of prophets—especially Moses—and its themes of divine guidance, mercy, and spiritual reflection.
  • B. Tavo
    Tavo is a common Spanish diminutive or nickname for the given name Gustavo.
  • C. Tayk
    Tayk was an ancient historical region in the southwestern Caucasus, associated with Armenian and later Georgian polities and known for its strategic location and mountainous terrain.
  • D. Tarkani
    Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
  • E. Tachara
    Tachara is an ancient Achaemenid palace at Persepolis, built by Darius the Great and notable for its finely carved reliefs and well-preserved stonework.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24bde0c8190b46986b89bf2e037 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef8b07648190bac0f417a4aa06bc completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f23554208190aa1dc7294ab62e6c completed May 16, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_6a08f2a50c1c8190b167334fce4121cc completed May 16, 2026, 10:41 p.m.
Created at: April 16, 2026, 12:36 p.m.