Triple

T14398512
Position Surface form Disambiguated ID Type / Status
Subject EPA Region 4 E357011 entity
Predicate alsoKnownAs P39 FINISHED
Object Region 4 E490903 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: Region 4 | Statement: [EPA Region 4, alsoKnownAs, Region 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region 4
Context triple: [EPA Region 4, alsoKnownAs, Region 4]
  • A. Region 4 chosen
    Region 4 is the U.S. Environmental Protection Agency’s Southeast region, responsible for environmental regulation and enforcement across several southeastern states.
  • B. Region 5
    Region 5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • C. Region 6
    Region 6 is the U.S. Environmental Protection Agency’s administrative region that oversees environmental programs and enforcement in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas.
  • D. Region VI
    Region VI, also known as Western Visayas, is an administrative region in the central Philippines comprising several provinces and islands, including Panay and Guimaras.
  • E. Region III
    Region III, also known as Central Luzon, is a major administrative region in the Philippines recognized as a key agricultural and industrial hub on the island of Luzon.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551eb09c8190a102ab452371e5b1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.