Triple

T7867438
Position Surface form Disambiguated ID Type / Status
Subject Ghiyasuddin Azam Shah E182652 entity
Predicate capital P234 FINISHED
Object Pandua E191146 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: Pandua | Statement: [Ghiyasuddin Azam Shah, capital, Pandua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandua
Context triple: [Ghiyasuddin Azam Shah, capital, Pandua]
  • A. Pandua chosen
    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.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Agrai
    Agrai was an ancient deme of Attica in Greece, known as the site of the Lesser Mysteries associated with the Eleusinian cult.
  • D. 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.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb38464274819080f182b53783fa84 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b5908a88190bc00f0d6dbde0b58 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:55 p.m.