Triple
T6835039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Athletes |
E157426
|
entity |
| Predicate | isInclusiveOf |
P54749
|
FINISHED |
| Object | children with intellectual disabilities |
—
|
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: children with intellectual disabilities | Statement: [Young Athletes, isInclusiveOf, children with intellectual disabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInclusiveOf Context triple: [Young Athletes, isInclusiveOf, children with intellectual disabilities]
-
A.
rangeIncludes
Indicates that the values or results associated with a property are expected to be of the specified type or types.
-
B.
isUpperBoundFor
Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
-
C.
partOfRange
Indicates that one entity is included within, or constitutes a segment of, the overall extent or span defined by another entity.
-
D.
lessExclusiveThan
chosen
Indicates that one entity has a broader or more inclusive scope, membership, or applicability than another, which is more exclusive.
-
E.
includesFinal
Indicates that one entity contains or encompasses another entity as its concluding or last part.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67a9ff88190b0d86331b3ea06aa |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.