Triple

T3467256
Position Surface form Disambiguated ID Type / Status
Subject Patel E73166 entity
Predicate script P505 FINISHED
Object પટેલ E73166 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: પટેલ | Statement: [Patel, script, પટેલ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: પટેલ
Context triple: [Patel, script, પટેલ]
  • A. Patel chosen
    Patel is a common Indian surname, particularly associated with Gujarati communities and notably borne by Sardar Vallabhbhai Patel, a key leader in India's independence movement and its first Deputy Prime Minister.
  • B. Pandey
    Pandey is an Indian surname commonly associated with Brahmin communities, notably borne by figures such as the 19th-century revolutionary Mangal Pandey.
  • C. Bhatt
    Bhatt is an Indian surname commonly found among various communities, including Brahmins and other groups, across regions such as Gujarat and North India.
  • D. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • E. Peters
    Peters is a set of early United States Supreme Court case reports compiled by Richard Peters, later incorporated into the official United States Reports.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb1090188190ac8aafd87dfaa6a7 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680763608190acdd146dc7c0b239 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.