Triple

T21545435
Position Surface form Disambiguated ID Type / Status
Subject Oslomarka E531610 entity
Predicate hasLegalFramework P12605 FINISHED
Object Markaloven 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: Markaloven | Statement: [Oslomarka, hasLegalFramework, Markaloven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markaloven
Context triple: [Oslomarka, hasLegalFramework, Markaloven]
  • A. Markaloven chosen
    Markaloven is a Norwegian law that protects the Marka forest areas around Oslo by regulating land use, development, and outdoor recreation to preserve nature and public access.
  • B. Sameloven
    Sameloven is the Norwegian Sami Act, a key law that safeguards the rights, language, and culture of the Indigenous Sami people in Norway.
  • C. Kanun
    The Kanun is a Middle Eastern trapezoidal zither-like string instrument widely used in Armenian and neighboring musical traditions for its bright, resonant sound.
  • D. Kanunname
    Kanunname was a series of official Ottoman legal codes that systematized sultanic laws on administration, taxation, and criminal justice alongside Islamic jurisprudence.
  • E. Lawa-an
    Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.