Triple

T9487724
Position Surface form Disambiguated ID Type / Status
Subject Farah E228803 entity
Predicate capitalOf P204 FINISHED
Object Farah Province E241629 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: Farah Province | Statement: [Farah, capitalOf, Farah Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farah Province
Context triple: [Farah, capitalOf, Farah Province]
  • A. Farah Province chosen
    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.
  • B. Nimruz Province
    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.
  • C. Taltal Province
    Taltal Province is an administrative division in Chile’s Antofagasta Region, known for its coastal desert landscapes and mining activities.
  • 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. Rehamna Province
    Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e601508190b116fca9854057bc completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 7:55 p.m.