Triple

T16644481
Position Surface form Disambiguated ID Type / Status
Subject Dhanik Lal Mandal E404430 entity
Predicate ethnicGroup P194 FINISHED
Object Maithil E820738 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: Maithil | Statement: [Dhanik Lal Mandal, ethnicGroup, Maithil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maithil
Context triple: [Dhanik Lal Mandal, ethnicGroup, Maithil]
  • A. Maithil chosen
    Maithil are an ethnolinguistic group from the Mithila region of India and Nepal, known for their Maithili language and rich cultural traditions including distinctive art, literature, and rituals.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Gamgadhi
    Gamgadhi is a remote town in northwestern Nepal that serves as an access point and administrative hub for the area around Rara National Park.
  • D. Newa
    Newa is a Unicode block that encodes the Newa script used for writing the Nepal Bhasa (Newar) language of the Newar people in Nepal.
  • E. Kathamala
    Kathamala is a renowned Bengali literary work by Ishwar Chandra Vidyasagar, known for its moral and educational stories aimed at children and young readers.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad4735c81908a3a227bf02ca489 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bf0900819092db11456eb8e1c0 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.