Triple
T30020695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizuka Arakawa |
E762727
|
entity |
| Predicate | Olympic Games location |
P67366
|
FINISHED |
| Object | Turin |
—
|
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: Turin | Statement: [Shizuka Arakawa, Olympic Games location, Turin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Olympic Games location Context triple: [Shizuka Arakawa, Olympic Games location, Turin]
-
A.
olympicEventsLocation
Indicates the location where specific Olympic events are held or take place.
-
B.
olympicGamesHosted
chosen
Indicates that a particular location or entity served as the host for a specific edition of the Olympic Games.
-
C.
olympicSportHosted
Indicates that a particular Olympic sport was held or staged at a specific Olympic Games or host location.
-
D.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
E.
OlympicVenue
Indicates that a location serves or has served as a site where official Olympic Games events are held.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 29, 2026, 6:47 p.m.