Triple
T22580109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly Stock Series |
E544542
|
entity |
| Predicate | premierLevel |
P18089
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Strictly Stock Series, premierLevel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premierLevel Context triple: [Strictly Stock Series, premierLevel, true]
-
A.
premierNumber
Indicates that the entity is identified as the first or leading item in an ordered sequence, such as a top-ranked or primary position.
-
B.
premiers
Indicates that an entity debuts, launches, or is first publicly presented, often referring to the initial showing or release of a work or event.
-
C.
firstTier
chosen
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
D.
premiersState
Indicates that a person serves as the premier (head of government) of a particular state or subnational jurisdiction.
-
E.
premierClassOf
Indicates that one entity is the top or highest-level class or category to which another entity belongs.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fefa1308190876b617d47ba08f3 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.