Triple

T10775730
Position Surface form Disambiguated ID Type / Status
Subject Sungor language E254191 entity
Predicate alternateName P39 FINISHED
Object Asungor
Asungor is an alternative name for the Sungor language, a Nilo-Saharan language spoken by the Sungor people of Chad and Sudan.
E885002 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: Asungor | Statement: [Sungor language, alternateName, Asungor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asungor
Context triple: [Sungor language, alternateName, Asungor]
  • A. Amanishakheto
    Amanishakheto was a powerful queen of the ancient Kingdom of Kush, known for her military leadership and richly adorned royal tomb at Meroë.
  • B. Gourna
    Gourna is a small coastal settlement on the Greek island of Leros, known for its quiet beaches and traditional island character.
  • C. Qurna
    Qurna is a town in southern Iraq near the confluence of the Tigris and Euphrates rivers, historically significant as a strategic site during World War I.
  • D. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • E. Akhet
    Akhet is the ancient Egyptian season of the Nile’s annual inundation, marking the flooding and renewal of the land.
  • 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: Asungor
Triple: [Sungor language, alternateName, Asungor]
Generated description
Asungor is an alternative name for the Sungor language, a Nilo-Saharan language spoken by the Sungor people of Chad and Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asungor
Target entity description: Asungor is an alternative name for the Sungor language, a Nilo-Saharan language spoken by the Sungor people of Chad and Sudan.
  • A. Amanishakheto
    Amanishakheto was a powerful queen of the ancient Kingdom of Kush, known for her military leadership and richly adorned royal tomb at Meroë.
  • B. Gourna
    Gourna is a small coastal settlement on the Greek island of Leros, known for its quiet beaches and traditional island character.
  • C. Qurna
    Qurna is a town in southern Iraq near the confluence of the Tigris and Euphrates rivers, historically significant as a strategic site during World War I.
  • D. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • E. Akhet
    Akhet is the ancient Egyptian season of the Nile’s annual inundation, marking the flooding and renewal of the land.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.