Triple

T23140134
Position Surface form Disambiguated ID Type / Status
Subject Mou Waho E577436 entity
Predicate partOf P40 FINISHED
Object Southern Lakes region NE NERFINISHED

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: Southern Lakes region | Statement: [Mou Waho, partOf, Southern Lakes region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Lakes region
Context triple: [Mou Waho, partOf, Southern Lakes region]
  • A. Southern Lakes region chosen
    The Southern Lakes region is a scenic area in New Zealand’s South Island known for its alpine landscapes, lakes, and adventure tourism hubs.
  • B. Highland Lakes region
    The Highland Lakes region is a scenic area of the Texas Hill Country known for its chain of reservoirs along the Colorado River, popular for boating, fishing, and lakeside recreation.
  • C. Lakes region
    The Lakes region is an administrative area in South Sudan known for its numerous lakes and wetlands, forming part of the greater Bahr el Ghazal area.
  • D. Lakes Region
    The Lakes Region is a scenic area in central New Hampshire known for its numerous lakes, outdoor recreation, and popular vacation communities.
  • E. Five Lakes Region
    The Five Lakes Region is a scenic area in Upper Bavaria, Germany, known for its cluster of picturesque lakes, recreational opportunities, and proximity to the Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.