Triple
T31673533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Lumiere School |
E808335
|
entity |
| Predicate | collegeMatriculation |
P188894
|
FINISHED |
| Object | graduates attend four-year colleges and universities |
—
|
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: graduates attend four-year colleges and universities | Statement: [La Lumiere School, collegeMatriculation, graduates attend four-year colleges and universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeMatriculation Context triple: [La Lumiere School, collegeMatriculation, graduates attend four-year colleges and universities]
-
A.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
B.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
C.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
-
E.
universityCollege
Indicates that one institution functions as a college within, or is organizationally part of, a larger university.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 30, 2026, 11:02 p.m.