Triple
T23731937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Edge |
E586431
|
entity |
| Predicate | numberOfShowsInSouthAmerica |
P25315
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Diamond Edge, numberOfShowsInSouthAmerica, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShowsInSouthAmerica Context triple: [Diamond Edge, numberOfShowsInSouthAmerica, 3]
-
A.
numberOfShows
chosen
Indicates the total count of shows associated with or performed by a given entity.
-
B.
numberOfQualifiedTeamsFromSouthAmerica
Indicates the count of teams from South America that meet the specified qualification criteria.
-
C.
chartPositionARIALatinAmerica
Indicates the chart ranking or position of the song "ARIA" within music charts specific to the Latin America region.
-
D.
copaAmerica2015Host
Indicates that the subject is the country or entity that hosted the 2015 Copa América tournament.
-
E.
distanceToSouthAmerica
Indicates the spatial distance between a given entity’s location and the continent of South America.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1baccf5b88190961a6e5e0e1407c7 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.