Triple

T12828981
Position Surface form Disambiguated ID Type / Status
Subject Saddar Empress Market area E306734 entity
Predicate partOf P40 FINISHED
Object Saddar E628961 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: Saddar | Statement: [Saddar Empress Market area, partOf, Saddar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saddar
Context triple: [Saddar Empress Market area, partOf, Saddar]
  • A. Saddar chosen
    Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
  • 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. Shahhat
    Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar region.
  • D. Khudayar
    Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
  • E. Kurram
    Kurram is a mountainous tribal district in northwestern Pakistan, known for its strategic location along the Afghan border and its ethnically diverse, predominantly Pashtun population.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96faf9ae481908265e198f917d1e6 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed6cc9c8190aa66075505b42ec0 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:34 p.m.