Triple
T21704084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean Games |
E535728
|
entity |
| Predicate | hasParalympicEvents |
P144987
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Mediterranean Games, hasParalympicEvents, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParalympicEvents Context triple: [Mediterranean Games, hasParalympicEvents, no]
-
A.
hasParalympicFunction
Indicates that an entity serves a specific role, duty, or function within the context of the Paralympic Games or Paralympic movement.
-
B.
hasParalympicStatus
Indicates that an entity holds an official classification or recognition related to participation in the Paralympic Games or Paralympic movement.
-
C.
ParalympicSportHosted
Indicates that a particular Paralympic sport was held or staged as part of a specific edition of the Paralympic Games at a given host location.
-
D.
paralympicCounterpartOf
Indicates that one entity is the corresponding Paralympic version or equivalent of another entity, typically an Olympic event, sport, or competition.
-
E.
hasWonParalympicMedal
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.