Triple

T15473989
Position Surface form Disambiguated ID Type / Status
Subject Karachi Urdu E376737 entity
Predicate influencedBy P9 FINISHED
Object Memoni E1074872 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: Memoni | Statement: [Karachi Urdu, influencedBy, Memoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memoni
Context triple: [Karachi Urdu, influencedBy, Memoni]
  • A. Memoni chosen
    Memoni is an Indo-Aryan language spoken primarily by the Memon community originating from the Kathiawar region of Gujarat, India, and now found across various parts of South Asia and the global diaspora.
  • B. Munmun
    Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
  • C. Moni
    Moni is a small Greek island in the Saronic Gulf, known for its clear waters, pine forests, and free-roaming deer and peacocks.
  • D. Moni
    Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
  • E. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.