Triple
T28214693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan women's national ice hockey team |
E711278
|
entity |
| Predicate | OlympicHostCountryAtDebut |
P5968
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
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: Japan | Statement: [Japan women's national ice hockey team, OlympicHostCountryAtDebut, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicHostCountryAtDebut Context triple: [Japan women's national ice hockey team, OlympicHostCountryAtDebut, Japan]
-
A.
olympicDebutLocation
Indicates the location where an entity (such as an athlete, team, or country) first participated in the Olympic Games.
-
B.
olympicHostCountry
chosen
Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
-
C.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
D.
olympicGamesHosted
Indicates that a particular location or entity served as the host for a specific edition of the Olympic Games.
-
E.
introducedToOlympicsBy
Indicates that one entity was responsible for bringing or presenting another entity into the context of the Olympic Games for the first time.
- F. None of above.
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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 10:42 p.m.