Triple

T1223931
Position Surface form Disambiguated ID Type / Status
Subject Malayo-Polynesian languages E26283 entity
Predicate hasMajorContactLanguage P8345 FINISHED
Object Sanskrit E3683 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: Sanskrit | Statement: [Malayo-Polynesian languages, hasMajorContactLanguage, Sanskrit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanskrit
Context triple: [Malayo-Polynesian languages, hasMajorContactLanguage, Sanskrit]
  • A. Sanskrit chosen
    Sanskrit is an ancient Indo-Aryan language of India, foundational to Hindu religious texts and classical Indian literature, and a key source for many modern South Asian languages.
  • B. Prakrit
    Prakrit is a group of ancient Middle Indo-Aryan languages historically used in religious and literary texts, especially in Jain, Buddhist, and early Hindu traditions.
  • C. Magadhi Prakrit
    Magadhi Prakrit is an ancient Middle Indo-Aryan language of eastern India that served as a major linguistic ancestor to several modern languages of the region, including Bengali.
  • D. Shauraseni Prakrit
    Shauraseni Prakrit is an ancient Middle Indo-Aryan language that served as a major literary and theatrical lingua franca in northern India and significantly influenced several modern Indo-Aryan languages.
  • E. Sant Bhasha
    Sant Bhasha is a historical North Indian devotional literary language used in Sikh and related spiritual poetry, written in the Gurmukhi script.
  • 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: hasMajorContactLanguage
Context triple: [Malayo-Polynesian languages, hasMajorContactLanguage, Sanskrit]
  • A. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • B. hasSecondaryLanguage
    Indicates that an entity possesses or uses a secondary language in addition to its primary language.
  • C. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • D. hasMemberLanguage
    Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
  • E. usedAsContactLanguageBetween chosen
    Indicates that a language functions as the medium of communication between two or more distinct language communities.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61b45748190a12e1aec029b76df completed March 8, 2026, 12:43 a.m.
PD Predicate disambiguation batch_69a4bb644af08190ba25905f20adb01a completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.