Triple

T14882747
Position Surface form Disambiguated ID Type / Status
Subject Sealdah–Ranaghat line E350039 entity
Predicate regionServed P82 FINISHED
Object Nadia district E164529 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: Nadia district | Statement: [Sealdah–Ranaghat line, regionServed, Nadia district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadia district
Context triple: [Sealdah–Ranaghat line, regionServed, Nadia district]
  • A. Nadia district chosen
    Nadia district is an administrative district in the Indian state of West Bengal, known for its historical towns, cultural heritage, and agricultural economy.
  • B. Kitob District
    Kitob District is an administrative district in southern Uzbekistan, located within the Qashqadaryo Region and known for its mountainous terrain near the western Pamir-Alay range.
  • C. Almaza district
    Almaza district is a neighborhood in eastern Cairo, Egypt, known for its residential areas, military facilities, and the historic Almaza Airport.
  • D. Sheema District
    Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
  • E. Qabala District
    Qabala District is an administrative region in northern Azerbaijan known for its mountainous landscapes, historical sites, and role as a popular tourist destination.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5af8208190a35451477ea20b03 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.