Triple

T16001112
Position Surface form Disambiguated ID Type / Status
Subject King of Arizona Mine E388093 entity
Predicate associatedWith P37 FINISHED
Object Kofa area E1187834 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: Kofa area | Statement: [King of Arizona Mine, associatedWith, Kofa area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kofa area
Context triple: [King of Arizona Mine, associatedWith, Kofa area]
  • A. Kofa region chosen
    The Kofa region is a remote desert area in southwestern Arizona known for its rugged mountains, historic mining sites, and protected wildlife habitat.
  • B. Tutuala area
    The Tutuala area is a coastal and forested region at the eastern tip of Timor-Leste known for its rugged cliffs, beaches, and cultural sites within Nino Konis Santana National Park.
  • C. Kapoeta region
    Kapoeta region is an area in southeastern South Sudan inhabited largely by the Toposa people and known for its pastoralist communities and semi-arid landscape.
  • D. Ijesha area
    Ijesha area is a region in southwestern Nigeria historically associated with the Ijesha people and known for its rich cultural heritage and natural resources.
  • E. Buhera District
    Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fba9748190ac8fc27b167d49f7 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.