Triple

T1392797
Position Surface form Disambiguated ID Type / Status
Subject Talpur dynasty E30597 entity
Predicate branch P889 FINISHED
Object Khairpur Talpur branch E160202 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: Khairpur Talpur branch | Statement: [Talpur dynasty, branch, Khairpur Talpur branch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khairpur Talpur branch
Context triple: [Talpur dynasty, branch, Khairpur Talpur branch]
  • A. Khairpur chosen
    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.
  • B. Shikarpur District
    Shikarpur District is a historic administrative region in the Sindh province of present-day Pakistan, known for its role as a commercial and cultural center, especially during the British colonial period.
  • C. Sukkur
    Sukkur is a major city in Pakistan known for its strategic location on the Indus River and its role as an important commercial and cultural center in northern Sindh.
  • D. Nawabshah
    Nawabshah is a major city in Pakistan known as an important commercial and agricultural center in the Sindh province.
  • E. Sialkot
    Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c360a7f08190ab7e903764b06fdf completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56e32608190a03485d7cb5941a8 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.