Triple

T213146
Position Surface form Disambiguated ID Type / Status
Subject Egyptian National Railways network E4759 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 National Railways network, connects, Sohag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohag
Context triple: [Egyptian National Railways 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. 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. Aswan
    Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c313d108190a65d3e939f961bef completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3faf665a08190a9ce9fecfd057eae completed March 1, 2026, 8:38 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.