Triple
T3760645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ms. Norbury |
E82150
|
entity |
| Predicate | teachesAtLevel |
P3870
|
FINISHED |
| Object | 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: High school | Statement: [Ms. Norbury, teachesAtLevel, High school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesAtLevel Context triple: [Ms. Norbury, teachesAtLevel, High school]
-
A.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
B.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
C.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
-
D.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
E.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.