Triple
T17681777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Arts (IB Diploma Programme subject group) |
E440786
|
entity |
| Predicate | subjectGroupNumber |
P101171
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [The Arts (IB Diploma Programme subject group), subjectGroupNumber, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectGroupNumber Context triple: [The Arts (IB Diploma Programme subject group), subjectGroupNumber, 6]
-
A.
subjectGroup
Indicates that an entity functions as a group or collection that the subject belongs to or is categorized under.
-
B.
subjectCount
chosen
Indicates the number of subjects associated with or involved in a given entity or context.
-
C.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
D.
committeeNumber
Indicates the specific numerical identifier assigned to a committee in a given context or system.
-
E.
participantGroup
Indicates a relationship in which a set or group of entities jointly participate in a common event, activity, or interaction.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470445b3881908bb0930b986089f7 |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.