Triple
T12203368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atuda academic reserve program |
E290769
|
entity |
| Predicate | typicalParticipantsAge |
P78532
|
FINISHED |
| Object | late teens to early twenties |
—
|
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: late teens to early twenties | Statement: [Atuda academic reserve program, typicalParticipantsAge, late teens to early twenties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalParticipantsAge Context triple: [Atuda academic reserve program, typicalParticipantsAge, late teens to early twenties]
-
A.
typicalAge
chosen
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
B.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
C.
typicalAgeRangeLower
Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
-
D.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
E.
typicalMaximumAge
Indicates the usual upper age limit that an entity is expected or allowed to reach under normal conditions.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.