Triple

T21286364
Position Surface form Disambiguated ID Type / Status
Subject Renu Saluja E524669 entity
Predicate edited P1932 FINISHED
Object Dharavi 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: Dharavi | Statement: [Renu Saluja, edited, Dharavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dharavi
Context triple: [Renu Saluja, edited, Dharavi]
  • A. Bombay slums chosen
    The Bombay slums are densely populated, impoverished urban settlements in Mumbai characterized by overcrowded housing, inadequate infrastructure, and limited access to basic services.
  • B. Seemapuri
    Seemapuri is a densely populated, low-income residential area on the northeastern edge of Delhi, India, known for its informal settlements and migrant communities.
  • C. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • D. Kalkaji slum, New Delhi
    Kalkaji slum in New Delhi is an informal urban settlement best known as the original site of Sugata Mitra’s pioneering “Hole in the Wall” computer-based learning experiment with children.
  • E. Chennai slums
    Chennai slums are densely populated, economically disadvantaged urban neighborhoods in Chennai, India, characterized by informal housing, limited infrastructure, and vibrant community life amid hardship.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d717c88190950bd48058912b65 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.