Triple
T6241967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B.M.C. Durfee High School |
E139623
|
entity |
| Predicate | enrollmentCategory |
P69269
|
FINISHED |
| Object | large high school |
—
|
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: large high school | Statement: [B.M.C. Durfee High School, enrollmentCategory, large high school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrollmentCategory Context triple: [B.M.C. Durfee High School, enrollmentCategory, large high school]
-
A.
enrollmentType
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
B.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
C.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given context.
-
D.
enrollment
Indicates the formal act of registering or being registered in a course, program, or institution, establishing an official participant–provider relationship.
-
E.
enrolledIn
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630797f88190a5571f6000ba2e3b |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:23 p.m.