Triple

T4544544
Position Surface form Disambiguated ID Type / Status
Subject Kefaya movement E110014 entity
Predicate slogan P42 FINISHED
Object Kefaya E451960 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: Kefaya | Statement: [Kefaya movement, slogan, Kefaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kefaya
Context triple: [Kefaya movement, slogan, Kefaya]
  • A. Kefaya chosen
    Kefaya is an Egyptian grassroots political movement known for opposing authoritarian rule and calling for democratic reforms in the 2000s.
  • B. Al-Muzahimiyah
    Al-Muzahimiyah is a town in central Saudi Arabia that serves as a growing satellite community west of Riyadh.
  • C. El Mokattam
    El Mokattam is a district in Cairo, Egypt, known for its elevated plateau, panoramic city views, and significant residential and religious sites.
  • D. Ista‘ala
    Ista‘ala is an alternate name for Surah Al-Ma'arij, a chapter of the Qur’an that vividly describes the Day of Judgment and the ascent of the angels and spirit to God.
  • E. El Gamaliya
    El Gamaliya is a historic district in central Cairo, Egypt, known for its dense traditional markets, medieval Islamic architecture, and cultural landmarks.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d62a8481909d5d803a582c76a1 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc564452c819080beada43c9ba7b1 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.