Triple

T22632746
Position Surface form Disambiguated ID Type / Status
Subject Arafa E558595 entity
Predicate fictionalUniverse P3758 FINISHED
Object Gebelawi estate NE NERFINISHED

How this triple was built (3 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: Gebelawi estate | Statement: [Arafa, fictionalUniverse, Gebelawi estate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gebelawi estate
Context triple: [Arafa, fictionalUniverse, Gebelawi estate]
  • A. Nisa estate
    Nisa estate is a historic Portuguese landed property long associated with the influential da Gama family.
  • B. Mukhrani estate
    Mukhrani estate is a historic Georgian noble estate and former princely residence known for its grand architecture, vineyards, and role in the cultural and political life of the Mukhrani region.
  • C. Montaza Gardens
    Montaza Gardens is a vast, landscaped public park in Alexandria, Egypt, known for its palm-lined promenades, Mediterranean coastal views, and lush greenery surrounding the historic Montaza Palace.
  • D. Tatoi estate
    Tatoi estate is a historic former royal residence and expansive wooded property near Athens, Greece, that served as the country retreat and burial ground of the Greek royal family.
  • E. Tarkhany estate
    Tarkhany estate is a historic manor in Russia best known as the family estate, museum, and final resting place of the poet Mikhail Lermontov.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gebelawi estate
Target entity description: Gebelawi estate is the central, symbolically charged neighborhood in Naguib Mahfouz’s novel "Children of Gebelawi," serving as the setting for its allegorical retelling of religious and social history.
  • A. Nisa estate
    Nisa estate is a historic Portuguese landed property long associated with the influential da Gama family.
  • B. Mukhrani estate
    Mukhrani estate is a historic Georgian noble estate and former princely residence known for its grand architecture, vineyards, and role in the cultural and political life of the Mukhrani region.
  • C. Montaza Gardens
    Montaza Gardens is a vast, landscaped public park in Alexandria, Egypt, known for its palm-lined promenades, Mediterranean coastal views, and lush greenery surrounding the historic Montaza Palace.
  • D. Tatoi estate
    Tatoi estate is a historic former royal residence and expansive wooded property near Athens, Greece, that served as the country retreat and burial ground of the Greek royal family.
  • E. Tarkhany estate
    Tarkhany estate is a historic manor in Russia best known as the family estate, museum, and final resting place of the poet Mikhail Lermontov.
  • F. None of above. chosen

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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700ab4308190a16b0a1b2a0210fd completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:02 p.m.