Triple
T1723482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State University, Fullerton |
E37443
|
entity |
| Predicate | isLargestIn |
P4495
|
FINISHED |
| Object | California State University system by enrollment |
—
|
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: California State University system by enrollment | Statement: [California State University, Fullerton, isLargestIn, California State University system by enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestIn Context triple: [California State University, Fullerton, isLargestIn, California State University system by enrollment]
-
A.
isLargestOf
chosen
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
B.
isMaximumWhen
Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
-
C.
isThirdLargestIn
Indicates that an entity ranks as the third largest member within a specified group or set based on size or magnitude.
-
D.
areLargestGroupIn
Indicates that one group is the biggest or most numerous among all groups within a specified context or set.
-
E.
largerThan
Indicates that one entity has a greater size, extent, or magnitude than 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.