Triple

T17244252
Position Surface form Disambiguated ID Type / Status
Subject Deadvlei E418580 entity
Predicate locatedIn P40 FINISHED
Object Hardap 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: Hardap Region | Statement: [Deadvlei, locatedIn, Hardap Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardap Region
Context triple: [Deadvlei, locatedIn, Hardap Region]
  • A. Hardap Region chosen
    Hardap Region is a largely arid administrative region in central Namibia known for the Hardap Dam near Mariental and its significant role in the country’s agriculture and livestock farming.
  • B. Trysil region
    Trysil region is a mountainous forested area in eastern Norway known for its large ski resort and outdoor recreation opportunities.
  • C. Helgeland district
    Helgeland district is a traditional region in southern Nordland county, Norway, known for its coastal archipelagos, fjords, and scattered rural communities.
  • D. Harstad Region
    Harstad Region is a district in Northern Norway centered around the town of Harstad and encompassing surrounding municipalities in Troms county.
  • E. Bodø region
    The Bodø region is a coastal area in Northern Norway centered around the city of Bodø, known for its Arctic landscape, maritime industries, and role as a regional hub for education, transport, and commerce.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
Created at: April 10, 2026, 5:39 a.m.