Triple

T1738379
Position Surface form Disambiguated ID Type / Status
Subject Tara Lipinski E37971 entity
Predicate OlympicGoldMedalCity P31742 FINISHED
Object Nagano, Japan E78933 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: Nagano, Japan | Statement: [Tara Lipinski, OlympicGoldMedalCity, Nagano, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagano, Japan
Context triple: [Tara Lipinski, OlympicGoldMedalCity, Nagano, Japan]
  • A. Nagano chosen
    Nagano is a city in central Japan best known internationally for hosting the 1998 Winter Olympic Games.
  • B. Fujinomiya, Japan
    Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
  • C. Tsuyama, Japan
    Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
  • D. Fukuroi, Japan
    Fukuroi, Japan is a city in Shizuoka Prefecture known for its agricultural production, traditional temples, and role as a regional industrial and cultural center.
  • E. Kakegawa, Japan
    Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
  • 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: OlympicGoldMedalCity
Context triple: [Tara Lipinski, OlympicGoldMedalCity, Nagano, Japan]
  • A. olympicHostCountry
    Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
  • B. hostCityPreviousOlympicsInCity
    Indicates that the city served as the host city for a previous edition of the Olympic Games held in that same city.
  • C. inauguralHostCity
    Indicates the city that first hosted a particular event, competition, or series.
  • D. firstWinterGamesCity
    Indicates the city where an entity (such as a country, team, or athlete) first participated in the Winter Olympic Games.
  • E. olympicHostState
    Indicates that a state served as the official host location for a particular edition of the Olympic Games.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab3c2559ac8190905186406fcaccb9 completed March 6, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0dbc7c081909d637c5a482389ef completed March 8, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69aa61c4023c819099cbe439aefda71f completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab3c2479148190badc616f8e2686d4 completed March 6, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:30 p.m.