Triple

T14291664
Position Surface form Disambiguated ID Type / Status
Subject Egyptian road network E354326 entity
Predicate connects P390 FINISHED
Object Sohag E19047 NE FINISHED

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: [Egyptian road network, connects, Sohag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohag
Context triple: [Egyptian road network, connects, 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. Assiut
    Assiut is a major city in Upper Egypt on the Nile River, serving as an important regional administrative, commercial, and transportation hub.
  • D. Kharga
    Kharga is a town in Egypt’s Western Desert that serves as the administrative center of the surrounding Kharga Oasis region.
  • E. Beni Suef city
    Beni Suef city is an urban center in Upper Egypt located on the west bank of the Nile, known as an important regional hub for agriculture, industry, and administration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1fee448190bcafb37dd6618d60 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.