Triple

T499781
Position Surface form Disambiguated ID Type / Status
Subject Qena E10374 entity
Predicate nearbyCity P350 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: [Qena, nearbyCity, Sohag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohag
Context triple: [Qena, 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. Assiut
    Assiut is a major city in Upper Egypt on the Nile River, serving as an important regional administrative, commercial, and transportation hub.
  • C. Mansoura
    Mansoura is a major city in Egypt’s Nile Delta, serving as an important regional center for agriculture, commerce, and transportation.
  • D. Beni Suef Governorate
    Beni Suef Governorate is an administrative region in central Egypt along the Nile, known for its agricultural economy and proximity to several important ancient Egyptian archaeological sites.
  • E. Qena Governorate
    Qena Governorate is an administrative region in Upper Egypt known for its capital city Qena and its proximity to important archaeological and cultural sites along the Nile.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f13096248190a622a58dcf540b00 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff465c2c819083d63547a4d0572a completed March 2, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.