Triple

T12504799
Position Surface form Disambiguated ID Type / Status
Subject Nueva Vizcaya E298920 entity
Predicate partOf P40 FINISHED
Object Region II E298918 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 II | Statement: [Nueva Vizcaya, partOf, Region II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region II
Context triple: [Nueva Vizcaya, partOf, Region II]
  • A. Region II chosen
    Region II, also known as Cagayan Valley, is an administrative region in the northeastern part of Luzon in the Philippines known for its vast agricultural plains and river systems.
  • B. 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.
  • C. Region V
    Region V, also known as the Bicol Region, is an administrative region in the southeastern part of Luzon in the Philippines known for its active volcanoes, spicy cuisine, and strong Catholic traditions.
  • D. Region 4
    Region 4 is the U.S. Environmental Protection Agency’s Southeast region, responsible for environmental regulation and enforcement across several southeastern states.
  • E. 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.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557243788190854208113600324e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.