Triple

T8582804
Position Surface form Disambiguated ID Type / Status
Subject Hawar alphabet E203224 entity
Predicate namedAfter P63 FINISHED
Object Hawar magazine E659426 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: Hawar magazine | Statement: [Hawar alphabet, namedAfter, Hawar magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawar magazine
Context triple: [Hawar alphabet, namedAfter, Hawar magazine]
  • A. Hawar magazine chosen
    Hawar magazine was an influential Kurdish periodical that played a key role in developing and standardizing the Kurmanji Kurdish language and its modern alphabet.
  • B. Al-Hadaf magazine
    Al-Hadaf magazine is the official political and ideological publication associated with the Popular Front for the Liberation of Palestine, known for promoting its leftist Palestinian nationalist views.
  • C. Rumiyah magazine
    Rumiyah magazine is an online English-language propaganda publication produced by the Islamic State (ISIS) to recruit supporters, spread its ideology, and incite attacks worldwide.
  • D. Wahdat newspaper
    Wahdat newspaper is a notable Pashto-language print publication recognized as a significant outlet within Pashto media.
  • E. Nakshab Jarchavi
    Nakshab Jarchavi was an Indian film lyricist best known for penning memorable songs in classic Hindi cinema, including iconic tracks from the 1940s and 1950s.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1d0edc8190b4495935275252f3 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89b6d7f081908eecf0dd901e6bef completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.