Triple

T22760043
Position Surface form Disambiguated ID Type / Status
Subject Dumka district E562960 entity
Predicate headquarters P62 FINISHED
Object Dumka 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: Dumka | Statement: [Dumka district, headquarters, Dumka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumka
Context triple: [Dumka district, headquarters, Dumka]
  • A. Dumka chosen
    Dumka is a town and administrative center in the Indian state of Jharkhand, known as the headquarters of Dumka district and part of the Santhal Pargana region.
  • B. Begusarai
    Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
  • C. Ghatshila
    Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
  • D. Dumraon
    Dumraon is a town in Bihar, India, known as the birthplace of legendary shehnai maestro Ustad Bismillah Khan.
  • E. Gobardanga
    Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.