Triple

T11248805
Position Surface form Disambiguated ID Type / Status
Subject Eidsvolls plass E266275 entity
Predicate namedAfter P63 FINISHED
Object Eidsvoll E94298 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: Eidsvoll | Statement: [Eidsvolls plass, namedAfter, Eidsvoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidsvoll
Context triple: [Eidsvolls plass, namedAfter, Eidsvoll]
  • A. Eidsvoll chosen
    Eidsvoll is a historic Norwegian town best known as the site where Norway’s constitution was drafted and signed in 1814.
  • B. Akershus
    Akershus is a historical county in southeastern Norway that encompassed areas around the capital Oslo and played a key role in the region’s administrative and military history.
  • C. Eidsvolls plass
    Eidsvolls plass is a central public square and park in Oslo, Norway, located in front of the Parliament building and often used for gatherings and events.
  • D. Fredrikstad
    Fredrikstad is a coastal city in southeastern Norway known for its well-preserved fortified old town and role as a regional educational and commercial center.
  • E. Rakkestad
    Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc76b10c8190962b21c4cad6ce8f completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.