Triple

T8082895
Position Surface form Disambiguated ID Type / Status
Subject 207th Corps E188659 entity
Predicate regionServed P82 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: [207th Corps, regionServed, Nimruz Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimruz Province
Context triple: [207th Corps, regionServed, 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd677b00548190929a2a38b4d1476f completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:28 p.m.