Triple

T23427649
Position Surface form Disambiguated ID Type / Status
Subject Farsund E563237 entity
Predicate partOf P40 FINISHED
Object Lister 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: Lister region | Statement: [Farsund, partOf, Lister region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lister region
Context triple: [Farsund, partOf, Lister region]
  • A. Lister region chosen
    Lister region is a traditional district in southwestern Norway known for its coastal landscapes, small towns, and historical ties to maritime trade and agriculture.
  • B. AWS regions
    AWS regions are geographically distinct data center areas operated by Amazon Web Services that provide isolated, redundant infrastructure for deploying and running cloud resources close to end users.
  • C. Dir region
    Dir region is an administrative area in northwestern Pakistan, historically part of the former princely state of Dir and now known for its mountainous terrain and strategic location near the Afghan border.
  • D. Min region
    The Min region is a historical area in southeastern China centered around present-day Fuzhou and associated with the Min Chinese language and culture.
  • E. Sous region
    The Sous region is a historical and geographical area in southwestern Morocco, known for its fertile valleys, argan forests, and as a cultural heartland of the Shilha (Tashelhit-speaking Amazigh) people.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ae8ac8190b0bae2560582c904 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:48 p.m.