Triple

T22376287
Position Surface form Disambiguated ID Type / Status
Subject Balasore district E553158 entity
Predicate contains P35 FINISHED
Object Chandipur 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: Chandipur | Statement: [Balasore district, contains, Chandipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandipur
Context triple: [Balasore district, contains, Chandipur]
  • A. Chandipur chosen
    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.
  • B. Balasore
    Balasore is a coastal city in the Indian state of Odisha, historically significant as a trading and maritime center during the colonial era.
  • C. Balagarh
    Balagarh is a town in the Hooghly district of West Bengal, India, known for its rural setting along the Hooghly River and its role as a local administrative and transport hub.
  • D. Diglipur
    Diglipur is a northern town in India's Andaman and Nicobar Islands known as a key regional hub and gateway to nearby natural attractions such as Saddle Peak and Ross and Smith Islands.
  • E. Chandipur beach
    Chandipur Beach is a unique seaside destination in Odisha, India, famous for its dramatically receding tides that expose vast stretches of seabed twice a day.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158285d208190bc7d05d315267995 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.