Triple

T16427602
Position Surface form Disambiguated ID Type / Status
Subject Obando E398983 entity
Predicate region P40 FINISHED
Object Region III E310385 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 III | Statement: [Obando, region, Region III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region III
Context triple: [Obando, region, Region III]
  • A. Region III chosen
    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.
  • B. Region II
    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.
  • C. 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.
  • D. 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.
  • E. Region IX
    Region IX, also known as the Zamboanga Peninsula, is an administrative region in western Mindanao in the Philippines known for its diverse cultures and strategic coastal location.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d27712081908530bbf0d9d47e1f completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:09 a.m.