Triple

T18845902
Position Surface form Disambiguated ID Type / Status
Subject HMB E460911 entity
Predicate refersTo P37 FINISHED
Object Sohag International Airport 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 International Airport | Statement: [HMB, refersTo, Sohag International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohag International Airport
Context triple: [HMB, refersTo, Sohag International Airport]
  • A. Sohag International Airport chosen
    Sohag International Airport is a regional airport in Egypt serving the city of Sohag and its surrounding governorate, handling both domestic and international flights.
  • B. Assiut Airport
    Assiut Airport is a regional public airport serving the city of Assiut and the surrounding area in Upper Egypt.
  • C. El-Obeid Airport
    El-Obeid Airport is a public airport serving the city of El-Obeid and the surrounding region in central Sudan.
  • D. Aswan International Airport
    Aswan International Airport is a regional airport in southern Egypt that serves the city of Aswan and nearby tourist destinations along the Nile.
  • E. Abu Simbel Airport
    Abu Simbel Airport is a small regional airport in southern Egypt that serves tourists visiting the nearby Abu Simbel temples and surrounding area.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ee96988190bf247b986777945c completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.