Triple

T16978290
Position Surface form Disambiguated ID Type / Status
Subject Egyptian–Nubian relations E411870 entity
Predicate keyRegion P10082 FINISHED
Object Wawat
Wawat was an ancient Nubian region in Lower Nubia that played a strategically important role in the political and economic interactions between Egypt and Nubia.
 E1243495 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: Wawat | Statement: [Egyptian–Nubian relations, keyRegion, Wawat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wawat
Context triple: [Egyptian–Nubian relations, keyRegion, Wawat]
  • A. Waurika
    Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
  • B. Wapare
    Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
  • C. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • D. Waibakul
    Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
  • E. Wanano
    Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
  • 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: Wawat
Triple: [Egyptian–Nubian relations, keyRegion, Wawat]
Generated description
Wawat was an ancient Nubian region in Lower Nubia that played a strategically important role in the political and economic interactions between Egypt and Nubia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wawat
Target entity description: Wawat was an ancient Nubian region in Lower Nubia that played a strategically important role in the political and economic interactions between Egypt and Nubia.
  • A. Waurika
    Waurika is a small city in southern Oklahoma known as the administrative and economic hub of Jefferson County.
  • B. Wapare
    Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
  • C. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • D. Waibakul
    Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
  • E. Wanano
    Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5503be88190ac15a327ff3782ec completed May 10, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_6a00d66e450c8190ae0befd3d7875ed8 completed May 10, 2026, 7:03 p.m.
Created at: April 10, 2026, 5:32 a.m.