Triple

T198211
Position Surface form Disambiguated ID Type / Status
Subject Mango E4043 entity
Predicate widelyConsumedIn P7827 FINISHED
Object South Asia E6055 NE FINISHED

How this triple was built (3 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: South Asia | Statement: [Mango, widelyConsumedIn, South Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Asia
Context triple: [Mango, widelyConsumedIn, South Asia]
  • A. South Asia chosen
    South Asia is a culturally and linguistically diverse region of the Asian continent that includes countries such as India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, and the Maldives.
  • B. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • C. Asia-Pacific
    Asia-Pacific is a vast geopolitical and economic region encompassing East Asia, Southeast Asia, Oceania, and surrounding Pacific areas, known for its dynamic economies and strategic global importance.
  • D. Southeast Asia
    Southeast Asia is a geographically and culturally diverse region of Asia comprising countries such as Thailand, Vietnam, Indonesia, and Malaysia, situated between the Indian and Pacific Oceans.
  • E. North Asia
    North Asia is the vast, sparsely populated northern part of the Asian continent, dominated by Siberia and characterized by its cold climate and extensive forests and tundra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: widelyConsumedIn
Context triple: [Mango, widelyConsumedIn, South Asia]
  • A. widelyCultivatedIn
    Indicates that something is grown extensively or on a large scale within a particular place or region.
  • B. usedInCountry
    Indicates that something is utilized, applied, or in operation within the specified country.
  • C. commonInCountry chosen
    Indicates that something occurs frequently or is widespread within a specified country.
  • D. placeOfOrigin
    Indicates the location or source from which an entity originally comes or was created.
  • E. nationalFruit
    Indicates that a particular fruit is officially designated as the national fruit of a country or region.
  • F. None of above.

Provenance (4 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3736ce0148190971ea784bfd171a5 completed Feb. 28, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69a25b47481c8190add47c641c977bb9 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:44 a.m.