Triple

T10428413
Position Surface form Disambiguated ID Type / Status
Subject Nes (Akershus) E245844 entity
Predicate borderedBy P224 FINISHED
Object Sør-Odal E464004 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: Sør-Odal | Statement: [Nes (Akershus), borderedBy, Sør-Odal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sør-Odal
Context triple: [Nes (Akershus), borderedBy, Sør-Odal]
  • A. Sør-Odal chosen
    Sør-Odal is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and location along the Glomma River.
  • B. Ogndal
    Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
  • C. Nord-Odal
    Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
  • D. Romsdal
    Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
  • E. Nordmøre
    Nordmøre is a traditional district in the northern part of Møre og Romsdal county in western Norway, known for its coastal landscapes, fjords, and fishing communities.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:13 p.m.