Triple

T5555209
Position Surface form Disambiguated ID Type / Status
Subject Montaza E145620 entity
Predicate region P40 FINISHED
Object Northern Egypt E3708 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: Northern Egypt | Statement: [Montaza, region, Northern Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Egypt
Context triple: [Montaza, region, Northern Egypt]
  • A. Eastern Egypt
    Eastern Egypt is the broad region of Egypt lying along the Red Sea and Sinai area, encompassing coastal and desert territories on the country’s eastern side.
  • B. Upper Egypt
    Upper Egypt is the historically rich, predominantly rural southern region of Egypt stretching along the Nile Valley from south of Cairo toward Aswan.
  • C. Lower Egypt chosen
    Lower Egypt is the northern, Nile Delta region of ancient Egypt, encompassing the fertile lands around the river’s mouth and key cities such as Giza.
  • D. central Egypt
    Central Egypt is the middle region of the country, situated between Upper and Lower Egypt, encompassing several governorates along the Nile Valley.
  • E. North Coast of Egypt
    The North Coast of Egypt is a Mediterranean shoreline region renowned for its historic World War II battlefields, including El Alamein, and its modern resort towns and beaches.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffaf4fc8190bf27014d21954a70 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283bd408819085c62caf254df339 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.