Triple

T10301122
Position Surface form Disambiguated ID Type / Status
Subject Farah Province E241629 entity
Predicate hasBorder P224 FINISHED
Object Nimruz Province E238533 NE FINISHED

How this triple was built (2 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: Nimruz Province | Statement: [Farah Province, hasBorder, Nimruz Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimruz Province
Context triple: [Farah Province, hasBorder, Nimruz Province]
  • A. Nimruz Province chosen
    Nimruz Province is a sparsely populated, largely desert region in southwestern Afghanistan bordering Iran and Pakistan, known for its strategic location along key trade and smuggling routes.
  • B. Taltal Province
    Taltal Province is an administrative division in Chile’s Antofagasta Region, known for its coastal desert landscapes and mining activities.
  • C. 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.
  • D. Safi Province
    Safi Province is an administrative division on Morocco’s Atlantic coast, known for its historic port city of Safi and its important fishing and ceramics industries.
  • E. Sara Province
    Sara Province is an administrative subdivision located within Bolivia's Santa Cruz Department.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:44 a.m.