Triple

T10428748
Position Surface form Disambiguated ID Type / Status
Subject Hemsedal E245852 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Ål E440166 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: Ål | Statement: [Hemsedal, hasNeighbouringMunicipality, Ål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ål
Context triple: [Hemsedal, hasNeighbouringMunicipality, Ål]
  • A. Ål chosen
    Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
  • B. Ålö
    Ålö is a small island in the southern Stockholm archipelago of Sweden, known for its tranquil nature, forests, and coastal landscapes.
  • C. Alingsås
    Alingsås is a Swedish town known for its historic wooden architecture, café culture, and annual Lights in Alingsås illumination festival.
  • D. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • E. Ålsgårde
    Ålsgårde is a coastal town in North Zealand, Denmark, known for its residential areas and proximity to the Øresund Strait.
  • 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_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2d54048190b25f4d168a75ad3a completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:13 p.m.