Triple

T613751
Position Surface form Disambiguated ID Type / Status
Subject Sindh E12156 entity
Predicate hasLinguisticTradition P11719 FINISHED
Object Sindhi language E12831 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: Sindhi language | Statement: [Sindh, hasLinguisticTradition, Sindhi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindhi language
Context triple: [Sindh, hasLinguisticTradition, Sindhi language]
  • A. Sindhi chosen
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • B. Urdu language
    Urdu is a major South Asian language, written in a Perso-Arabic script and widely used in Pakistan and parts of India in literature, media, and everyday communication.
  • C. Saraiki
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • D. Pashto language
    Pashto is an Eastern Iranian language spoken primarily in Afghanistan and Pakistan, serving as one of Afghanistan’s official languages and a key marker of Pashtun ethnic identity.
  • E. Punjabi language
    Punjabi language is an Indo-Aryan language widely spoken in the Punjab region of India and Pakistan and among large diaspora communities worldwide.
  • 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: hasLinguisticTradition
Context triple: [Sindh, hasLinguisticTradition, Sindhi language]
  • A. hasLinguisticHeritage chosen
    Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
  • B. hasLinguisticTypology
    Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
  • C. heritageLanguage
    Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
  • D. literaryTradition
    Indicates a relationship where a work, practice, or expression belongs to, arises from, or participates in a particular established body of literary customs, styles, or conventions.
  • E. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566ff095081909a897d3001955514 completed March 2, 2026, 10:31 a.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.