Triple

T21938871
Position Surface form Disambiguated ID Type / Status
Subject Syed Abdullah Shah Qadri E541762 entity
Predicate placeOfDeath P21 FINISHED
Object Kasur 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: Kasur | Statement: [Syed Abdullah Shah Qadri, placeOfDeath, Kasur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasur
Context triple: [Syed Abdullah Shah Qadri, placeOfDeath, Kasur]
  • A. Kasur chosen
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • B. Cobija
    Cobija is a small Bolivian city in the Amazon rainforest near the border with Brazil, known as an important regional center for trade and rubber production.
  • C. Betton
    Betton is a commune in the Ille-et-Vilaine department of Brittany in northwestern France, situated just north of the city of Rennes.
  • D. Tiège
    Tiège is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • E. Újszőny
    Újszőny is a historical locality in present-day Komárom, Hungary, known as the birthplace of the Austrian poet and soldier Theodor Körner.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241f582c81909a244419cec38b19 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.