Triple
T5901322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIBA World Cup gold medal (head coach, 2014) |
E131231
|
entity |
| Predicate | hasAwardingEvent |
P13301
|
FINISHED |
| Object | gold medal game of the 2014 FIBA Basketball World Cup |
—
|
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: gold medal game of the 2014 FIBA Basketball World Cup | Statement: [FIBA World Cup gold medal (head coach, 2014), hasAwardingEvent, gold medal game of the 2014 FIBA Basketball World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardingEvent Context triple: [FIBA World Cup gold medal (head coach, 2014), hasAwardingEvent, gold medal game of the 2014 FIBA Basketball World Cup]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
hasAwardPeriod
Indicates the time span or date range during which an award is valid, active, or applicable.
-
C.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
awardEvent
chosen
Indicates an event in which an award is formally given or presented to a recipient.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.