Triple

T2430047
Position Surface form Disambiguated ID Type / Status
Subject 1958 FIFA World Cup E52820 entity
Predicate hostCities P3207 FINISHED
Object Uddevalla
Uddevalla is a coastal town in western Sweden known for its scenic Bohuslän archipelago setting and role as one of the host cities of the 1958 FIFA World Cup.
 E304916 NE FINISHED

How this triple was built (4 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: Uddevalla | Statement: [1958 FIFA World Cup, hostCities, Uddevalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uddevalla
Context triple: [1958 FIFA World Cup, hostCities, Uddevalla]
  • A. Hudiksvall
    Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
  • B. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • C. Gävle
    Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
  • 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. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uddevalla
Triple: [1958 FIFA World Cup, hostCities, Uddevalla]
Generated description
Uddevalla is a coastal town in western Sweden known for its scenic Bohuslän archipelago setting and role as one of the host cities of the 1958 FIFA World Cup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uddevalla
Target entity description: Uddevalla is a coastal town in western Sweden known for its scenic Bohuslän archipelago setting and role as one of the host cities of the 1958 FIFA World Cup.
  • A. Hudiksvall
    Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
  • B. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • C. Gävle
    Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
  • 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. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • F. None of above. chosen

Provenance (5 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d1c73d88190b4e871b9876e1a52 completed March 10, 2026, 1:31 p.m.
NEDg Description generation batch_69b0212016f881909e7ce8726680f40f completed March 10, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69b022213c6c81909549e5c46991f4a9 completed March 10, 2026, 1:52 p.m.
Created at: March 6, 2026, 9:43 p.m.