Triple

T7641410
Position Surface form Disambiguated ID Type / Status
Subject Southern Pakistan E173018 entity
Predicate hasMajorCity P316 FINISHED
Object Larkana E77818 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: Larkana | Statement: [Southern Pakistan, hasMajorCity, Larkana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larkana
Context triple: [Southern Pakistan, hasMajorCity, Larkana]
  • A. Larkana chosen
    Larkana is a major city in Pakistan known for its historical significance, including proximity to the ancient Indus Valley site of Mohenjo-daro and its association with the Bhutto political family.
  • B. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • C. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • D. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • E. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • 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_69c870cd11648190b9aeedadb7bc1981 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.