Triple

T1229751
Position Surface form Disambiguated ID Type / Status
Subject Knut Hamsun E26408 entity
Predicate burialPlace P196 FINISHED
Object Grimstad, Norway E168438 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: Grimstad, Norway | Statement: [Knut Hamsun, burialPlace, Grimstad, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grimstad, Norway
Context triple: [Knut Hamsun, burialPlace, Grimstad, Norway]
  • A. Grimstad chosen
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • B. Sandefjord
    Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
  • C. Sámediggi (Norway)
    Sámediggi (Norway) is the representative parliament of the Sámi people in Norway, responsible for promoting and protecting Sámi language, culture, and political interests.
  • D. Kragerø
    Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
  • E. Moss, Norway
    Moss is a coastal town and municipality in southeastern Norway known for its industrial heritage, ferry connections across the Oslofjord, and scenic beaches 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3dac2c8190914ff27173bb6b34 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4005cd4c81909cff0ed6529d1695 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:47 p.m.