Triple
T8016711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Summer Universiade |
E186634
|
entity |
| Predicate | countryRankByGoldMedals |
P10424
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2013 Summer Universiade, countryRankByGoldMedals, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRankByGoldMedals Context triple: [2013 Summer Universiade, countryRankByGoldMedals, 1]
-
A.
topGoldMedalCountry
chosen
Indicates that a country is the one with the highest number of gold medals in a given competition or context.
-
B.
hostCountryMedalRank
Indicates the ranking position of the host country in the overall medal standings for a given sporting event or competition.
-
C.
overallRankByTotalMedals
Indicates the relative ordering of entities based on the total number of medals they have earned, from highest to lowest.
-
D.
hostNationGoldMedals
Indicates the number of gold medals won by the nation hosting a particular event or competition.
-
E.
secondRankedNationByGoldMedals
Indicates that a nation is ranked second among all nations when ordered by the number of gold medals won.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df37a00819088780e5461bc5b41 |
completed | March 31, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:20 p.m.