Triple

T12587377
Position Surface form Disambiguated ID Type / Status
Subject Muzaffarpur E300502 entity
Predicate localLanguage P1252 FINISHED
Object Bajjika E986667 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: Bajjika | Statement: [Muzaffarpur, localLanguage, Bajjika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajjika
Context triple: [Muzaffarpur, localLanguage, Bajjika]
  • A. Bajjika chosen
    Bajjika is an Indo-Aryan language spoken primarily in parts of Bihar and Nepal, closely related to Maithili and considered one of the Bihari languages.
  • B. Bajju
    Bajju are an ethnic subgroup in southern Kaduna State, Nigeria, closely related culturally and linguistically to the Atyap people.
  • C. Bijwasan
    Bijwasan is a suburban residential and semi-rural locality in the South West district of Delhi, India, known for its proximity to the Delhi–Gurugram border and the Indira Gandhi International Airport.
  • D. Daju
    The Daju are an ethnic group native to the Darfur region of Sudan and parts of Chad, known for their distinct language cluster and historical sultanates.
  • E. Sajjangad
    Sajjangad is a historic hilltop fort in Maharashtra, India, renowned as the final resting place and spiritual center associated with the 17th-century saint Samarth Ramdas.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebed164819083fbdaa775a59cd4 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:05 p.m.