Triple
T29726406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy at the Youth Olympic Games |
E752189
|
entity |
| Predicate | summerEditionsParticipated |
P167237
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Italy at the Youth Olympic Games, summerEditionsParticipated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summerEditionsParticipated Context triple: [Italy at the Youth Olympic Games, summerEditionsParticipated, true]
-
A.
isAnnualEditionOf
Indicates that one entity is a specific yearly edition or version of another, typically recurring publication or event.
-
B.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
C.
firstSummerEdition
Indicates that the subject is the entity’s first edition or occurrence that took place during a summer season.
-
D.
laterEditions
Indicates that one entity is a subsequent or more recent edition of another entity.
-
E.
hasWeekendEdition
Indicates that something includes or is associated with a special edition or version that is released or available on weekends.
- F. None of above. chosen
Provenance (4 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672ffccac819096b8f4c43a32b52d |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691e55cc81908d2d5c8ca4dea042 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:39 p.m.