Triple

T17882803
Position Surface form Disambiguated ID Type / Status
Subject Baki E447130 entity
Predicate nameInArabicScript P6450 FINISHED
Object باقی 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: باقی | Statement: [Baki, nameInArabicScript, باقی]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: باقی
Context triple: [Baki, nameInArabicScript, باقی]
  • A. باقی chosen
    باقی is a prominent Ottoman-era Azerbaijani poet known for his influential contributions to classical divan literature.
  • B. Bashiqa
    Bashiqa is a town in northern Iraq’s Nineveh Governorate, known for its diverse ethnic and religious communities and its location on the Nineveh Plains near Mosul.
  • C. Basta
    Basta is a surname of Albanian origin most notably borne by Giorgio Basta, a 16th–17th century Habsburg general and military commander.
  • D. Barmaksiz
    Barmaksiz is the former name of Tsalka, a town in the Kvemo Kartli region of southern Georgia known for its ethnically diverse population and highland setting.
  • E. Biafada
    Biafada is a West Atlantic language spoken primarily by the Biafada people of Guinea-Bissau in West Africa.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c1016508190857adce1a0fbb355 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.