Triple

T10840239
Position Surface form Disambiguated ID Type / Status
Subject Pupri E255865 entity
Predicate district P2709 FINISHED
Object Sitamarhi district E51542 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: Sitamarhi district | Statement: [Pupri, district, Sitamarhi district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitamarhi district
Context triple: [Pupri, district, Sitamarhi district]
  • A. Sitamarhi district chosen
    Sitamarhi district is an administrative region in the Indian state of Bihar, known for its cultural heritage and association with the Maithili-speaking Mithila region.
  • B. Begusarai district
    Begusarai district is an administrative district in the Indian state of Bihar, known for its industrial activities and location along the Ganges River.
  • C. Samastipur district
    Samastipur district is an administrative region in the Indian state of Bihar, known for its agricultural economy and cultural use of the Maithili language.
  • D. Muzaffarpur district
    Muzaffarpur district is an administrative region in the Indian state of Bihar, known for its litchi production and as a commercial and educational hub in northern Bihar.
  • E. Birbhum district
    Birbhum district is a district in the Indian state of West Bengal, noted for its cultural heritage, rural landscapes, and the presence of the university town of Santiniketan established by Rabindranath Tagore.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e623e44c188190b5b83cf8f397554c completed April 20, 2026, 1:02 p.m.
Created at: April 8, 2026, 9:19 p.m.