Triple

T21918844
Position Surface form Disambiguated ID Type / Status
Subject Al-Ahram E541248 entity
Predicate hasEdition P35 FINISHED
Object Ahram Online 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: Ahram Online | Statement: [Al-Ahram, hasEdition, Ahram Online]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahram Online
Context triple: [Al-Ahram, hasEdition, Ahram Online]
  • A. Ahram
    Ahram is a city in southern Iran that serves as an urban center within Bushehr Province.
  • B. Al-Ahram newspaper chosen
    Al-Ahram newspaper is one of Egypt’s oldest and most influential daily newspapers, widely regarded as a leading voice in the Arab media landscape.
  • C. Al-Sharq al-Awsat
    Al-Sharq al-Awsat is a prominent London-based pan-Arab daily newspaper known for its wide circulation and influence across the Arab world.
  • D. Egyptian press
    The Egyptian press is the national print and media industry of Egypt, long influential across the Arab world for shaping public opinion, culture, and political discourse.
  • E. Nile Journal
    Nile Journal is a travelogue-style work by American writer and wit Thomas Gold Appleton, recounting his observations and experiences along the Nile River.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233924008190923724d0c0f2d435 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:44 p.m.