Triple
T7215918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyggeston and Queen Elizabeth I College |
E149533
|
entity |
| Predicate | ageMinimum |
P72691
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Wyggeston and Queen Elizabeth I College, ageMinimum, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageMinimum Context triple: [Wyggeston and Queen Elizabeth I College, ageMinimum, 16]
-
A.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
B.
ageLimitAppliesAt
Indicates the specific age or point in time at which an age-related restriction or limit becomes effective for an entity.
-
C.
minimumAgeMa
chosen
Indicates that there is a specified minimum age requirement associated with an entity, below which the related action, status, or relationship is not permitted.
-
D.
ageLimitType
Indicates the type or category of age restriction that applies to an entity or activity.
-
E.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.