Triple

T10381875
Position Surface form Disambiguated ID Type / Status
Subject Kamarpukur E244660 entity
Predicate connectedByRoadTo P11435 FINISHED
Object Tarakeswar E163223 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: Tarakeswar | Statement: [Kamarpukur, connectedByRoadTo, Tarakeswar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarakeswar
Context triple: [Kamarpukur, connectedByRoadTo, Tarakeswar]
  • A. Tarakeswar chosen
    Tarakeswar is a pilgrimage town in India renowned for its historic Shiva temple and religious significance in the Hooghly district of West Bengal.
  • B. Bhadreswar
    Bhadreswar is a town in the Indian state of West Bengal, known for its location along the Hooghly River and its historical jute mills and industrial heritage.
  • C. Ramakrishnapur
    Ramakrishnapur is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Tamluk
    Tamluk is a historic town in eastern India known as an ancient port city and administrative center in the Purba Medinipur district of West Bengal.
  • E. Bolpur
    Bolpur is a town in West Bengal, India, best known as the gateway to Santiniketan, the cultural and educational hub founded by Rabindranath Tagore.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fba398b88190ae3223218bf53ca7 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:04 p.m.