Triple

T19938519
Position Surface form Disambiguated ID Type / Status
Subject Saraikistan E479239 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Seraikistan province NE NERFINISHED

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: Seraikistan province | Statement: [Saraikistan, hasAlternativeSpelling, Seraikistan province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seraikistan province
Context triple: [Saraikistan, hasAlternativeSpelling, Seraikistan province]
  • A. Yozgat Province
    Yozgat Province is a landlocked administrative region in central Turkey known for its rural landscapes, agriculture, and location within the Central Anatolia Region.
  • B. Oruzgan Province
    Oruzgan Province is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in Afghanistan’s recent conflicts.
  • C. Töv Province
    Töv Province is a central Mongolian administrative region surrounding the national capital, Ulaanbaatar, and serving as a key political and transportation hub.
  • D. Taltal Province
    Taltal Province is an administrative division in Chile’s Antofagasta Region, known for its coastal desert landscapes and mining activities.
  • E. Farah Province
    Farah Province is a largely rural and sparsely populated region in western Afghanistan known for its desert landscapes, agriculture, and strategic location near the Iranian border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seraikistan province
Target entity description: Seraikistan province is a proposed administrative region in Pakistan intended to represent the Saraiki-speaking areas of southern Punjab and nearby regions.
  • A. Yozgat Province
    Yozgat Province is a landlocked administrative region in central Turkey known for its rural landscapes, agriculture, and location within the Central Anatolia Region.
  • B. Oruzgan Province
    Oruzgan Province is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in Afghanistan’s recent conflicts.
  • C. Töv Province
    Töv Province is a central Mongolian administrative region surrounding the national capital, Ulaanbaatar, and serving as a key political and transportation hub.
  • D. Taltal Province
    Taltal Province is an administrative division in Chile’s Antofagasta Region, known for its coastal desert landscapes and mining activities.
  • E. Farah Province
    Farah Province is a largely rural and sparsely populated region in western Afghanistan known for its desert landscapes, agriculture, and strategic location near the Iranian border.
  • F. None of above. chosen

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a190ac08190b9dc7955c9764a71 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.