Triple

T3668465
Position Surface form Disambiguated ID Type / Status
Subject Mohenjo-daro Airport E77818 entity
Predicate serves P98 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: [Mohenjo-daro Airport, serves, Larkana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larkana
Context triple: [Mohenjo-daro Airport, serves, 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. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • D. 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.
  • E. Lapseki
    Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42997d88190bc765559bd7645fc completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e0abd08190895897c62a7a5243 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.