Triple

T15243631
Position Surface form Disambiguated ID Type / Status
Subject Ranelva E364319 entity
Predicate locatedIn P40 FINISHED
Object Helgeland district E1174656 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: Helgeland district | Statement: [Ranelva, locatedIn, Helgeland district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helgeland district
Context triple: [Ranelva, locatedIn, Helgeland district]
  • A. Helgeland district chosen
    Helgeland district is a traditional region in southern Nordland county, Norway, known for its coastal archipelagos, fjords, and scattered rural communities.
  • B. Hadeland district
    Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
  • C. Ringerike district
    Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
  • D. Harstad Region
    Harstad Region is a district in Northern Norway centered around the town of Harstad and encompassing surrounding municipalities in Troms county.
  • E. Stjørdal
    Stjørdal is a Norwegian town and municipality in Trøndelag county, known as a regional transport hub near Trondheim and for its location at the mouth of the Stjørdalselva river.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff9085d388819092be2fd8a0268e23 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:13 a.m.