Triple
T27004124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGCSE |
E680192
|
entity |
| Predicate | alternativeStudyMode |
P57778
|
FINISHED |
| Object | private candidates (in some exam boards) |
—
|
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: private candidates (in some exam boards) | Statement: [IGCSE, alternativeStudyMode, private candidates (in some exam boards)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeStudyMode Context triple: [IGCSE, alternativeStudyMode, private candidates (in some exam boards)]
-
A.
typicalStudyMode
Indicates the usual or most common way in which an entity conducts or experiences a study or learning activity.
-
B.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
C.
alternateMode
chosen
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
-
D.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
-
E.
alsoPractice
Indicates that an entity engages in the same practice or activity as another entity, in addition to any other practices it may have.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:59 a.m.