Triple

T11091708
Position Surface form Disambiguated ID Type / Status
Subject Sokndal E262270 entity
Predicate partOf P40 FINISHED
Object Dalane district E239237 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: Dalane district | Statement: [Sokndal, partOf, Dalane district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalane district
Context triple: [Sokndal, partOf, Dalane district]
  • A. Dalane district chosen
    Dalane district is a traditional region in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small fjords.
  • B. Sharana District
    Sharana District is an administrative district in eastern Afghanistan that serves as the capital district of Paktika Province.
  • C. Shardara District
    Shardara District is an administrative district in southern Kazakhstan known for its agricultural activities and proximity to the Syr Darya River and Shardara Reservoir.
  • D. Rezina District
    Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
  • E. Sawkai District
    Sawkai District is an administrative district located within Kunar Province in eastern Afghanistan, near the border with Pakistan.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496a593c4819090d295119ce50e48 completed April 19, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:27 p.m.