Triple

T20237898
Position Surface form Disambiguated ID Type / Status
Subject Deir el-Abiad E498200 entity
Predicate nearbyCity P350 FINISHED
Object Sohag NE NERFINISHED

How this triple was built (2 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: Sohag | Statement: [Deir el-Abiad, nearbyCity, Sohag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohag
Context triple: [Deir el-Abiad, nearbyCity, Sohag]
  • A. Sohag chosen
    Sohag is a city in Upper Egypt that serves as the capital of the Sohag Governorate and an important regional center along the Nile.
  • B. Sohag Governorate
    Sohag Governorate is an administrative region in Upper Egypt along the Nile River, known for its agricultural economy and rich Pharaonic and Coptic archaeological sites.
  • C. Basyoun
    Basyoun is a town in Egypt’s Nile Delta region known for its agricultural surroundings and location within the Gharbia Governorate.
  • D. Assiut
    Assiut is a major city in Upper Egypt on the Nile River, serving as an important regional administrative, commercial, and transportation hub.
  • E. Kharga
    Kharga is a town in Egypt’s Western Desert that serves as the administrative center of the surrounding Kharga Oasis region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716b4c148190bf663b8a747fbfa5 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.