Triple
T4164546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballintemple National School |
E84412
|
entity |
| Predicate | hasPupilsAgeRange |
P2736
|
FINISHED |
| Object | approximately 4–12 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 4–12 years | Statement: [Ballintemple National School, hasPupilsAgeRange, approximately 4–12 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPupilsAgeRange Context triple: [Ballintemple National School, hasPupilsAgeRange, approximately 4–12 years]
-
A.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
C.
maximumPupilAge
Indicates the highest age allowed or observed for individuals in the role of pupils within a given context or system.
-
D.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
E.
typicalLeavingAge
Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.