Triple

T22462636
Position Surface form Disambiguated ID Type / Status
Subject Imperial Blue E555267 entity
Predicate hasMarketPresenceIn P90076 FINISHED
Object urban India LITERAL 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: urban India | Statement: [Imperial Blue, hasMarketPresenceIn, urban India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarketPresenceIn
Context triple: [Imperial Blue, hasMarketPresenceIn, urban India]
  • A. hasMarket
    Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
  • B. hasMarketFocus
    Indicates that an entity concentrates its business activities, products, or services on a particular market or customer segment.
  • C. hasBrandPresence chosen
    Indicates that an entity maintains an official or recognizable representation (such as branding, marketing, or products) within a particular context, location, or platform.
  • D. hasMarketStatus
    Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
  • E. hasMarketIndex
    Indicates that an entity is associated with, or tracked by, a specific market index.
  • F. None of above.

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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b80983081908084947b2e31c9d4 completed April 29, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:48 p.m.