Triple

T8360214
Position Surface form Disambiguated ID Type / Status
Subject Mohandessin E196988 entity
Predicate partOf P40 FINISHED
Object Giza City E390 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: Giza City | Statement: [Mohandessin, partOf, Giza City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giza City
Context triple: [Mohandessin, partOf, Giza City]
  • A. Giza chosen
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • B. Heliopolis
    Heliopolis was an ancient Egyptian city that served as a major religious and cosmological center, especially associated with the sun god Ra and the Ennead of gods.
  • C. Heliopolis
    Heliopolis is a northeastern district of Cairo, Egypt, known for its early 20th-century planned urban design and historic architecture.
  • D. Helwan
    Helwan is an industrial and residential city in southern Greater Cairo, Egypt, known for its factories, universities, and historic spa resorts along the Nile.
  • E. Umm el-Qaab
    Umm el-Qaab is an early dynastic royal cemetery at Abydos in Upper Egypt, known as the burial place of many of Egypt’s first pharaohs.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80728eb081909bae6aae45848fab completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce029ea6b48190aca98c579a4fbe94 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6 p.m.