Triple
T14187892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrboro High School |
E351625
|
entity |
| Predicate | hasMaximumStudentAge |
P99503
|
FINISHED |
| Object | approximately 18 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 18 years | Statement: [Carrboro High School, hasMaximumStudentAge, approximately 18 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumStudentAge Context triple: [Carrboro High School, hasMaximumStudentAge, approximately 18 years]
-
A.
hasMaximumGrade
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
B.
ageLimitYears
chosen
Indicates the maximum allowed age, expressed in years, for which something is valid, permitted, or applicable.
-
C.
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.
-
D.
maximumAgeMa
Indicates that there is a specified maximum age limit applicable to an entity or relationship.
-
E.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
- 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.