Triple

T23237655
Position Surface form Disambiguated ID Type / Status
Subject Sumitra Bhave E581346 entity
Predicate notableWork P4 FINISHED
Object Doghi NE NERFINISHED

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: Doghi | Statement: [Sumitra Bhave, notableWork, Doghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doghi
Context triple: [Sumitra Bhave, notableWork, Doghi]
  • A. Doghi chosen
    Doghi is an acclaimed Marathi film directed by Sunil Sukthankar that explores the struggles and resilience of two sisters in rural India.
  • B. Ghoga
    Ghoga is the surname of Abdul Hafiz Ghoga, a Libyan lawyer and political figure who served as a prominent spokesman and vice chairman of the National Transitional Council during the 2011 Libyan civil war.
  • C. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • D. Garhajis
    Garhajis is a major subclan of the Isaaq clan-family, prominent in the social and political landscape of Somaliland and the Somali people.
  • E. Boghni
    Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ea590c81908cd677d89f67d49f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.