Triple
T7829034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbor Day School |
E181318
|
entity |
| Predicate | studentAgeRangeTo |
P57504
|
FINISHED |
| Object | approximately 14 years |
—
|
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: approximately 14 years | Statement: [Harbor Day School, studentAgeRangeTo, approximately 14 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentAgeRangeTo Context triple: [Harbor Day School, studentAgeRangeTo, approximately 14 years]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
upperSecondaryEducationAgeRange
Indicates the typical age range during which individuals attend upper secondary education.
-
C.
ageRangeUpper
chosen
Indicates the maximum age limit that bounds the upper end of an age range associated with an entity or relationship.
-
D.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
E.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.