Triple
T7113312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament |
E165754
|
entity |
| Predicate | hasPrimaryComponent |
P15759
|
FINISHED |
| Object | tobacco |
—
|
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: tobacco | Statement: [Parliament, hasPrimaryComponent, tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryComponent Context triple: [Parliament, hasPrimaryComponent, tobacco]
-
A.
hasMajorComponent
chosen
Indicates that one entity includes another entity as a primary or most significant component or part.
-
B.
hasPrimarySee
Indicates that one entity is designated as the main or preferred "see" reference or cross-reference for another entity.
-
C.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
E.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.