Triple
T21208727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farncombe Church of England Infant School |
E522659
|
entity |
| Predicate | isSmallSchool |
P106264
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Farncombe Church of England Infant School, isSmallSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallSchool Context triple: [Farncombe Church of England Infant School, isSmallSchool, true]
-
A.
isLargeSchool
Indicates that a school has a large size, typically in terms of student population, campus area, or overall capacity.
-
B.
isSmallInstitution
chosen
Indicates that an institution is classified as small, typically based on its size, capacity, or scale of operations.
-
C.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
D.
isNonPublicSchool
Indicates that a school operates as a private or otherwise non-public institution, not funded or administered as part of the public school system.
-
E.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73436eb4c819082e05caf1ba52672 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:25 p.m.