Triple

T2947454
Position Surface form Disambiguated ID Type / Status
Subject Umarkot E79535 entity
Predicate hasNameVariant P457 FINISHED
Object Umerkot E79535 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: Umerkot | Statement: [Umarkot, hasNameVariant, Umerkot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umerkot
Context triple: [Umarkot, hasNameVariant, Umerkot]
  • A. Umarkot chosen
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • B. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • C. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • D. Umerkot District
    Umerkot District is an administrative district in the Sindh province of Pakistan, known for its historical significance and cultural heritage.
  • E. Banawali
    Banawali is an archaeological site in Haryana, India, known for its well-preserved remains of the Indus Valley Civilization, including planned settlements and distinctive Harappan artifacts.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108d7b64c8190a18bff804467fa2c completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:57 p.m.