Triple
T14187891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrboro High School |
E351625
|
entity |
| Predicate | hasMinimumStudentAge |
P42793
|
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: [Carrboro High School, hasMinimumStudentAge, approximately 14 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumStudentAge Context triple: [Carrboro High School, hasMinimumStudentAge, approximately 14 years]
-
A.
setsMinimumAge
chosen
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
B.
maximumAgeRequirement
Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
-
C.
minimumServiceFor18YearClass
Indicates that there is a required minimum length or level of service associated with an 18-year service class or category.
-
D.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
E.
hasLowerAge
Indicates that one entity is younger in age than another entity.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.