Triple

T8426281
Position Surface form Disambiguated ID Type / Status
Subject El Guincho E199001 entity
Predicate notableWork P4 FINISHED
Object “Bombay” E9753 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: “Bombay” | Statement: [El Guincho, notableWork, “Bombay”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Bombay”
Context triple: [El Guincho, notableWork, “Bombay”]
  • A. Mumbai chosen
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • B. Manchester of India
    Manchester of India is a popular nickname for Ludhiana, a major industrial city in Punjab renowned for its large-scale textile and hosiery industry.
  • C. Paris of India
    Paris of India is a popular nickname for Jaipur, the capital of Rajasthan, celebrated for its planned architecture, grand palaces, and vibrant cultural heritage.
  • D. Mambai
    Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
  • E. Calcutta
    Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a2871081908a4093838fc93b5a completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0364f294819091ef9f39429f3fb5 completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.