Triple

T7641426
Position Surface form Disambiguated ID Type / Status
Subject Southern Pakistan E173018 entity
Predicate hasMajorCity P316 FINISHED
Object Shikarpur E388632 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: Shikarpur | Statement: [Southern Pakistan, hasMajorCity, Shikarpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shikarpur
Context triple: [Southern Pakistan, hasMajorCity, Shikarpur]
  • A. Shikarpur chosen
    Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
  • B. Khairpur
    Khairpur is a historic city in Sindh, Pakistan, known for its former princely state status under the Talpur rulers and its rich cultural and architectural heritage.
  • C. Kalhoro
    Kalhoro is a Sindhi tribe historically prominent in the region that provided the ruling family for the Kalhora dynasty in what is now Pakistan.
  • D. Rahim Yar Khan
    Rahim Yar Khan is a major city in southern Punjab, Pakistan, known as an important commercial and agricultural center in the Seraiki-speaking region.
  • E. Narowal
    Narowal is a city in the Punjab province of Pakistan, located close to the border with India and known for its agricultural surroundings and proximity to the Ravi River.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facefbe08190882bd76cf3cd605e completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9494351488190852b600d9666d1eb completed March 29, 2026, 3:46 p.m.
Created at: March 27, 2026, 3:57 p.m.