Triple

T10393152
Position Surface form Disambiguated ID Type / Status
Subject ABBA 1980 tour E244939 entity
Predicate cityVisited P93961 FINISHED
Object Zurich E13407 NE FINISHED

How this triple was built (3 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: Zurich | Statement: [ABBA 1980 tour, cityVisited, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich
Context triple: [ABBA 1980 tour, cityVisited, Zurich]
  • A. Zurich chosen
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • B. Stettlen
    Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
  • C. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • D. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • E. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityVisited
Context triple: [ABBA 1980 tour, cityVisited, Zurich]
  • A. regionsVisited
    Indicates that an entity has traveled to, been present in, or otherwise visited specific geographic regions.
  • B. visitedCountry
    Indicates that an entity has traveled to and spent time in a particular country.
  • C. capitalCityFlownIn
    Indicates that an entity has traveled by air into the capital city of a specified country or region.
  • D. numberOfCountriesVisited
    Indicates the total count of distinct countries that an entity has visited.
  • E. travelScope
    Indicates the extent or range within which travel is allowed, intended, or applicable for an entity or activity.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b6c750819087678bf81a3ef806 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6cbdd30819087c3d980ab68c44e completed April 12, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69d4dfb0e7a88190bec0b7a52c70dfe2 completed April 7, 2026, 10:42 a.m.
PDg Predicate description generation batch_69d4e91ce2008190af252c140370b7f2 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 12:06 p.m.