Triple
T480605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria national football team |
E9157
|
entity |
| Predicate | olympicFootballSilverMedalAsUnder23 |
P6617
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Nigeria national football team, olympicFootballSilverMedalAsUnder23, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicFootballSilverMedalAsUnder23 Context triple: [Nigeria national football team, olympicFootballSilverMedalAsUnder23, 2008]
-
A.
olympicSilverMedals
chosen
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
B.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
secondMedalCountry
Indicates the country that received the second-place medal in a given event or competition.
-
E.
goldMedalGameFor
Indicates that the referenced game is the one in which the gold medal is contested or awarded for a particular event or competition.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.