Triple
T31641767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Winter Olympic Team |
E807474
|
entity |
| Predicate | firstWinterMedalType |
P95139
|
FINISHED |
| Object | silver medal |
—
|
LITERAL 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: silver medal | Statement: [New Zealand Winter Olympic Team, firstWinterMedalType, silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinterMedalType Context triple: [New Zealand Winter Olympic Team, firstWinterMedalType, silver medal]
-
A.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
B.
winterBronzeMedals
Indicates that the subject has earned a bronze medal in a Winter (cold-season) competition or event.
-
C.
typeOfMedalEvent
chosen
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
D.
winterGoldMedals
Indicates that the subject has won one or more gold medals at the Winter Olympic Games.
-
E.
medalShape
Indicates the geometric form or outline that characterizes a particular medal.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:49 p.m.