Triple

T7515085
Position Surface form Disambiguated ID Type / Status
Subject Ballala Sena E177618 entity
Predicate capital P234 FINISHED
Object Nabadwip E167888 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: Nabadwip | Statement: [Ballala Sena, capital, Nabadwip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabadwip
Context triple: [Ballala Sena, capital, Nabadwip]
  • A. Nabadwip chosen
    Nabadwip is a historic pilgrimage town in eastern India, renowned as the birthplace of the Vaishnav saint Chaitanya Mahaprabhu and an important center of Hindu learning and culture.
  • B. Varendra
    Varendra is a historic region in northwestern Bengal, now largely in Bangladesh, known as an early political and cultural center of medieval Bengali kingdoms.
  • C. Nijhum Dwip
    Nijhum Dwip is a remote, ecologically rich island in Bangladesh known for its mangrove forests, wildlife sanctuary, and tranquil, undeveloped beaches.
  • D. Pandua
    Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
  • 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 (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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b10cbc8190a36be8351feaf832 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:45 p.m.