Triple
T14899693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marling School |
E359969
|
entity |
| Predicate | formerSchoolCategory |
P19184
|
FINISHED |
| Object | foundation 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: foundation school | Statement: [Marling School, formerSchoolCategory, foundation school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSchoolCategory Context triple: [Marling School, formerSchoolCategory, foundation school]
-
A.
hasSchoolCategory
chosen
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
B.
formerHighSchool
Indicates that one entity previously attended or was enrolled at the other entity as their high school.
-
C.
schoolClassification
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
D.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
E.
previousSchoolSite
Indicates that one entity is the location or campus where another entity (typically a person or institution) was previously based or attended before moving to a new school site.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:11 a.m.