Triple
T15182975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fetcham Village Infant School |
E362791
|
entity |
| Predicate | hasSchoolCapacity |
P117034
|
FINISHED |
| Object | 180 |
—
|
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: 180 | Statement: [Fetcham Village Infant School, hasSchoolCapacity, 180]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolCapacity Context triple: [Fetcham Village Infant School, hasSchoolCapacity, 180]
-
A.
isLargeSchool
Indicates that a school has a large size, typically in terms of student population, campus area, or overall capacity.
-
B.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
C.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
D.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
E.
hasResidenceCapacityFor
Indicates that an entity’s residence can accommodate or provide living space for a specified number or type of occupants.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:09 a.m.