Triple

T15220210
Position Surface form Disambiguated ID Type / Status
Subject Alingsås E363745 entity
Predicate hasAnnualEvent P3113 FINISHED
Object Lights in Alingsås E363745 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: Lights in Alingsås | Statement: [Alingsås, hasAnnualEvent, Lights in Alingsås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lights in Alingsås
Context triple: [Alingsås, hasAnnualEvent, Lights in Alingsås]
  • A. Alingsås chosen
    Alingsås is a Swedish town known for its historic wooden architecture, café culture, and annual Lights in Alingsås illumination festival.
  • B. Ål
    Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
  • C. Älvsjö centrum
    Älvsjö centrum is a local urban center and transport hub in the Älvsjö district of southern Stockholm, featuring residential areas, shops, and services.
  • D. Häggenås
    Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
  • E. Lidingöbanan light rail
    Lidingöbanan light rail is a suburban tramway line in the Stockholm area that connects the island municipality of Lidingö with central Stockholm’s public transport network.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.