Triple
T21293397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtown High School |
E524852
|
entity |
| Predicate | schoolTypeInFiction |
P13916
|
FINISHED |
| Object | public 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: public high school | Statement: [Midtown High School, schoolTypeInFiction, public high school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolTypeInFiction Context triple: [Midtown High School, schoolTypeInFiction, public high school]
-
A.
hasFictionalSchool
Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
-
B.
fictionalEducation
Indicates that one entity has an educational background, training, or schooling that exists only within a fictional or imaginary context relative to another entity.
-
C.
schoolSystemType
chosen
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
D.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
-
E.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:04 p.m.