Triple

T4535075
Position Surface form Disambiguated ID Type / Status
Subject Hallingdal E107387 entity
Predicate mainTown P13187 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: [Hallingdal, mainTown, Ål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ål
Context triple: [Hallingdal, mainTown, 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. Alingsås
    Alingsås is a Swedish town known for its historic wooden architecture, café culture, and annual Lights in Alingsås illumination festival.
  • C. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • D. Molndal
    Mölndal is a Swedish city in Västra Götaland County, just south of Gothenburg, known for its industrial heritage and proximity to major research and technology hubs.
  • E. Älvdalen
    Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57a2301c8190aa59280a16750156 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb9193e2481908901b9b4eb307da8 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:04 p.m.