Triple

T6917018
Position Surface form Disambiguated ID Type / Status
Subject Abby Erceg E160082 entity
Predicate playedInCountry P10863 FINISHED
Object Switzerland E5030 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: Switzerland | Statement: [Abby Erceg, playedInCountry, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Switzerland
Context triple: [Abby Erceg, playedInCountry, Switzerland]
  • A. Switzerland chosen
    Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
  • B. Switzerland and Liechtenstein
    Switzerland and Liechtenstein are two small, landlocked Central European countries known for their Alpine landscapes, close economic ties, and shared use of the Swiss franc.
  • C. Switzerland and Austria
    Switzerland and Austria are neighboring Central European countries known for their Alpine landscapes, high living standards, and strong traditions in winter sports and tourism.
  • D. Suize
    The Suize is a small river in northeastern France that flows through the Haute-Marne department and contributes to its local hydrographic network.
  • E. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748ad80b881909efd0c0abddb95a5 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:26 p.m.