Triple

T21420038
Position Surface form Disambiguated ID Type / Status
Subject Okha Port E528410 entity
Predicate nearbyCity P350 FINISHED
Object Dwarka 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: Dwarka | Statement: [Okha Port, nearbyCity, Dwarka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dwarka
Context triple: [Okha Port, nearbyCity, Dwarka]
  • A. Dwarka chosen
    Dwarka is an ancient and sacred coastal city in western India, traditionally revered in Hinduism as the kingdom established and ruled by Lord Krishna.
  • B. Dwarka
    Dwarka is a major planned residential and commercial sub-city in southwest Delhi, India, known for its wide roads, housing complexes, and proximity to the Indira Gandhi International Airport.
  • C. Netaji Nagar
    Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Gomti Nagar
    Gomti Nagar is a prominent planned residential and commercial township in Lucknow, Uttar Pradesh, known for its modern infrastructure, business hubs, and upscale neighborhoods.
  • E. Kalyanpur
    Kalyanpur is a town located in the Devbhoomi Dwarka district of the western Indian state of Gujarat.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2cdb40481909542f2c953bbab64 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:47 p.m.