Triple

T11605336
Position Surface form Disambiguated ID Type / Status
Subject Sungor people E275242 entity
Predicate ethnonym P4709 FINISHED
Object Sungor
Sungor is the name of an ethnic group native to parts of eastern Chad and western Sudan, known for their distinct language and cultural traditions.
 E936963 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: Sungor | Statement: [Sungor people, ethnonym, Sungor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sungor
Context triple: [Sungor people, ethnonym, Sungor]
  • A. Sagala
    Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
  • B. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • C. Mosogar
    Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
  • D. Surbung
    Surbung is a subgroup within the Waic ethnolinguistic grouping, likely representing a distinct community or clan with its own cultural and linguistic traits.
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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: Sungor
Triple: [Sungor people, ethnonym, Sungor]
Generated description
Sungor is the name of an ethnic group native to parts of eastern Chad and western Sudan, known for their distinct language and cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sungor
Target entity description: Sungor is the name of an ethnic group native to parts of eastern Chad and western Sudan, known for their distinct language and cultural traditions.
  • A. Sagala
    Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
  • B. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • C. Mosogar
    Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
  • D. Surbung
    Surbung is a subgroup within the Waic ethnolinguistic grouping, likely representing a distinct community or clan with its own cultural and linguistic traits.
  • E. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87077d008190874a8339b64dd5ec completed April 26, 2026, 9:43 p.m.
NEDg Description generation batch_69ee9cf1cb2481908bc473c87bc42d60 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd31894481908dbd55f605c693f9 completed April 27, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:38 p.m.