Triple

T19118634
Position Surface form Disambiguated ID Type / Status
Subject Saurashtra–Kutch E467976 entity
Predicate hasMajorPort P942 FINISHED
Object Okha 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: Okha | Statement: [Saurashtra–Kutch, hasMajorPort, Okha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okha
Context triple: [Saurashtra–Kutch, hasMajorPort, Okha]
  • A. Okha
    Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
  • B. Okha chosen
    Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
  • C. Gamosa
    Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
  • D. Rattanbai
    Rattanbai was the wife of Muhammad Ali Jinnah, the founder of Pakistan, and the mother of their only child, Dina Wadia.
  • E. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.