Triple

T23475039
Position Surface form Disambiguated ID Type / Status
Subject Nannestad E570237 entity
Predicate hasNeighbor P5707 FINISHED
Object Eidsvoll 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: Eidsvoll | Statement: [Nannestad, hasNeighbor, Eidsvoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidsvoll
Context triple: [Nannestad, hasNeighbor, 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. Oslo–Eidsvoll
    Oslo–Eidsvoll is a historic railway route in Norway connecting the capital city Oslo with the town of Eidsvoll.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.