Triple
T22012095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTC@harbourside |
E543601
|
entity |
| Predicate | hasPupilAgeRangeTo |
P72504
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [UTC@harbourside, hasPupilAgeRangeTo, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPupilAgeRangeTo Context triple: [UTC@harbourside, hasPupilAgeRangeTo, 19]
-
A.
acceptsPupilsFromAge
chosen
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
B.
hasApproximateAgeRange
Indicates that one entity is associated with another entity representing an estimated or non-exact span of ages.
-
C.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
D.
hasGradeSpan
Indicates the range of grade levels or educational stages that an entity (such as a school or program) covers or serves.
-
E.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.