Triple
T29928424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends Academy |
E760147
|
entity |
| Predicate | lowerAgeRange |
P78715
|
FINISHED |
| Object | early childhood |
—
|
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: early childhood | Statement: [Friends Academy, lowerAgeRange, early childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerAgeRange Context triple: [Friends Academy, lowerAgeRange, early childhood]
-
A.
typicalAgeRangeLower
chosen
Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
youngestAge
Indicates that the relationship specifies the minimum or lowest age among a set of entities or within a given context.
-
D.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
E.
ageRangeUpper
Indicates the maximum age limit that bounds the upper end of an age range associated with an entity or relationship.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677cdf7c081908af7be4259c7c615 |
completed | May 2, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:17 p.m.