Triple
T17890251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Heriot's School |
E447295
|
entity |
| Predicate | openedToPupilsYear |
P129175
|
FINISHED |
| Object | 1659 |
—
|
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: 1659 | Statement: [George Heriot's School, openedToPupilsYear, 1659]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToPupilsYear Context triple: [George Heriot's School, openedToPupilsYear, 1659]
-
A.
hadPupilsFrom
Indicates that an entity served as a teacher or mentor to the specified pupils.
-
B.
maximumPupilAge
Indicates the highest age allowed or observed for individuals in the role of pupils within a given context or system.
-
C.
primarySchoolOpened
Indicates that a primary school has begun operating or officially started its educational activities.
-
D.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
E.
extensionOpeningYear
Indicates the year in which an extension to an existing entity (such as a building, line, or service) was officially opened or put into operation.
- F. None of above. chosen
Provenance (4 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:18 a.m.