Triple

T22926419
Position Surface form Disambiguated ID Type / Status
Subject Khasar E569319 entity
Predicate alternativeName P39 FINISHED
Object Qasar 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: Qasar | Statement: [Khasar, alternativeName, Qasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qasar
Context triple: [Khasar, alternativeName, Qasar]
  • A. Qasar chosen
    Qasar was a prominent member of the Mongol Borjigin clan, known historically as a close kinsman and military supporter of Genghis Khan.
  • B. Kasba
    Kasba is an Indian art-house film directed by Kumar Shahani, known for its experimental narrative style and exploration of social and psychological themes.
  • C. Kasba
    Kasba is a town in the Purnia district of Bihar, India, known as a local commercial and administrative center for surrounding rural areas.
  • D. Kabra
    Kabra is a small rural locality in Central Queensland, Australia, situated near the town of Gracemere and the regional city of Rockhampton.
  • E. Qeysar
    Qeysar is a landmark 1969 Iranian film directed by Masoud Kimiai that helped launch the Iranian New Wave with its gritty tale of revenge and social injustice.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.