Triple

T15764859
Position Surface form Disambiguated ID Type / Status
Subject Artesia, California E382193 entity
Predicate hasNickname P39 FINISHED
Object Little India E1175491 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: Little India | Statement: [Artesia, California, hasNickname, Little India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little India
Context triple: [Artesia, California, hasNickname, Little India]
  • A. Little India commercial district chosen
    Little India commercial district is a vibrant South Asian shopping and cultural hub in Artesia, California, known for its Indian restaurants, grocery stores, clothing shops, and cultural events.
  • B. Little India, Singapore
    Little India, Singapore is a vibrant ethnic district known for its colorful streets, Hindu temples, bustling markets, and South Asian culture, cuisine, and festivals.
  • C. Meena Bazaar
    Meena Bazaar is a bustling traditional market area in Dubai known for its gold jewelry, textiles, and South Asian shops and eateries.
  • D. Little India Klang
    Little India Klang is a vibrant Indian cultural and commercial district in Klang, Malaysia, known for its colorful shops, traditional eateries, and festive atmosphere.
  • E. Qasba Colony
    Qasba Colony is a residential neighborhood in the SITE Town area of Karachi, Pakistan, known for its dense population and urban character.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9099335c8190b6f0fb336b3dc212 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.