Triple

T2381112
Position Surface form Disambiguated ID Type / Status
Subject Wanetsi E46312 entity
Predicate hasAlternativeName P39 FINISHED
Object Wanetsi Pashto E6957 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: Wanetsi Pashto | Statement: [Wanetsi, hasAlternativeName, Wanetsi Pashto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanetsi Pashto
Context triple: [Wanetsi, hasAlternativeName, Wanetsi Pashto]
  • A. Pashto language chosen
    Pashto is an Eastern Iranian language spoken primarily in Afghanistan and Pakistan, serving as one of Afghanistan’s official languages and a key marker of Pashtun ethnic identity.
  • B. Balochi
    Balochi is an Iranian language spoken primarily by the Baloch people across Pakistan, Iran, and Afghanistan, with several dialects and a rich oral literary tradition.
  • C. Khowar
    Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
  • D. Saraiki
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • E. Gorani
    Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b7c9188190a824e4b469bc1548 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6540028c8190aaafeada529d2e6a completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:57 p.m.