Triple

T13460589
Position Surface form Disambiguated ID Type / Status
Subject Coal City, West Virginia E311351 entity
Predicate hasName P744 FINISHED
Object Coal City E342551 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: Coal City | Statement: [Coal City, West Virginia, hasName, Coal City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coal City
Context triple: [Coal City, West Virginia, hasName, Coal City]
  • A. Coal City chosen
    Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
  • B. Coal City
    Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
  • C. Coal City
    Coal City is a small village in Grundy County, Illinois, known historically for its coal mining roots and close-knit community.
  • D. Oil City
    Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
  • E. Nickel City
    Nickel City is a nickname for Sudbury, Ontario, reflecting its historic importance as a major global center for nickel mining and production.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0c177081909178dec61b09c278 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a2c75c819093765eb9d0d2377e completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.