Triple
T31553366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pearl danio |
E805062
|
entity |
| Predicate | minimumSchoolSize |
P112219
|
FINISHED |
| Object | 6 individuals or more |
—
|
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: 6 individuals or more | Statement: [pearl danio, minimumSchoolSize, 6 individuals or more]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumSchoolSize Context triple: [pearl danio, minimumSchoolSize, 6 individuals or more]
-
A.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
-
B.
primaryStudentPopulation
Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
-
C.
isLargeSchool
Indicates that a school has a large size, typically in terms of student population, campus area, or overall capacity.
-
D.
minimumSize
chosen
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
E.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 30, 2026, 10:12 p.m.