Triple

T12789050
Position Surface form Disambiguated ID Type / Status
Subject Nagpur kingdom E305707 entity
Predicate lostRegion P356 FINISHED
Object Balasore E434086 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: Balasore | Statement: [Nagpur kingdom, lostRegion, Balasore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balasore
Context triple: [Nagpur kingdom, lostRegion, Balasore]
  • A. Balasore chosen
    Balasore is a coastal city in the Indian state of Odisha, historically significant as a trading and maritime center during the colonial era.
  • B. Basirhat
    Basirhat is a town in the North 24 Parganas district of West Bengal, India, known as a regional administrative and commercial center near the India–Bangladesh border.
  • C. Chandipur
    Chandipur is a coastal town in Odisha, India, known for its unique beach where the sea recedes dramatically during low tide, exposing vast stretches of sand.
  • D. Barpeta
    Barpeta is a town in the Indian state of Assam known for its historical Barpeta Satra and cultural significance in the Vaishnavite tradition.
  • E. Baripada
    Baripada is a prominent town and district headquarters in the Mayurbhanj district of Odisha, India, known for its cultural heritage and proximity to the Simlipal National Park.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6a61f48190972e241e70bc392c completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebeab2081908a6e38351613e3ed completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:30 p.m.