Triple

T23351856
Position Surface form Disambiguated ID Type / Status
Subject Lierne E592933 entity
Predicate hasSettlement P1068 FINISHED
Object Nordli 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: Nordli | Statement: [Lierne, hasSettlement, Nordli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordli
Context triple: [Lierne, hasSettlement, Nordli]
  • A. Nordli chosen
    Nordli was a former municipality in Norway that was incorporated into the larger municipality of Lierne.
  • B. Norðoyar
    Norðoyar is a northern island region of the Faroe Islands known for its rugged landscapes, fishing communities, and traditional Faroese culture.
  • C. Norrort
    Norrort is the collective name for the northern suburbs of Stockholm, Sweden, located north of the city center and commonly contrasted with the southern area known as Söderort.
  • D. Sørvågen
    Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
  • E. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1401748190b77df0a45c2aeebf completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.