Triple

T7133975
Position Surface form Disambiguated ID Type / Status
Subject Mir Sohrab Khan Talpur E166258 entity
Predicate familyName P18 FINISHED
Object Talpur E604072 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: Talpur | Statement: [Mir Sohrab Khan Talpur, familyName, Talpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talpur
Context triple: [Mir Sohrab Khan Talpur, familyName, Talpur]
  • A. Talpur chosen
    Talpur is a Baloch royal dynasty and clan historically known for ruling parts of Sindh in present-day Pakistan during the 18th and 19th centuries.
  • B. Sachal
    Sachal is the honorific name of Sachal Sarmast, an 18th–19th century Sindhi Sufi poet and mystic renowned for his multilingual poetry and message of spiritual unity.
  • C. Shamardal
    Shamardal was a champion Thoroughbred racehorse and highly influential sire known for producing multiple Group 1 winners in Europe.
  • D. Miranshah
    Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
  • E. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.