Triple

T3663011
Position Surface form Disambiguated ID Type / Status
Subject Thar and Parkar District E77693 entity
Predicate ethnolinguisticRegion P46225 FINISHED
Object Sindh E12156 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: Sindh | Statement: [Thar and Parkar District, ethnolinguisticRegion, Sindh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindh
Context triple: [Thar and Parkar District, ethnolinguisticRegion, Sindh]
  • A. Sindh chosen
    Sindh is a southeastern province of Pakistan known for its historical Indus Valley heritage, major cities like Karachi and Hyderabad, and a rich Sindhi cultural and linguistic tradition.
  • B. Punjab
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • C. Punjab, Pakistan
    Punjab, Pakistan is a populous and agriculturally rich province in eastern Pakistan, known for its cultural heritage, Punjabi language, and role as the country’s political and economic heartland.
  • D. Balochistan, Pakistan
    Balochistan, Pakistan is the country’s largest and sparsely populated southwestern province, known for its ethnic diversity, rich natural resources, and strategic location bordering Iran and Afghanistan.
  • E. Gujrat
    Gujrat is a city in Pakistan’s Punjab province known for its industrial activity, historical significance, and position along the Grand Trunk Road between Lahore and Islamabad.
  • 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: ethnolinguisticRegion
Context triple: [Thar and Parkar District, ethnolinguisticRegion, Sindh]
  • A. culturalRegion
    Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
  • B. ethnolinguisticGroups chosen
    Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
  • C. regionOfMajorLanguage
    Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
  • D. linguisticArea
    Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
  • E. ethnogenesisRegion
    Indicates the geographic region where the formation or emergence of an ethnic group took place.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c358374c819089e8c16d4115c409 completed March 14, 2026, 2:09 a.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.