Triple
T7532274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isleworth and Syon School |
E178051
|
entity |
| Predicate | hasPhaseOfEducation |
P73150
|
FINISHED |
| Object | secondary and 16–19 |
—
|
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: secondary and 16–19 | Statement: [Isleworth and Syon School, hasPhaseOfEducation, secondary and 16–19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhaseOfEducation Context triple: [Isleworth and Syon School, hasPhaseOfEducation, secondary and 16–19]
-
A.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
B.
schoolPhase
chosen
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
-
C.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
D.
hasEducationalProfile
Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.