Triple
T26924730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Grand Slam |
E677746
|
entity |
| Predicate | editionStructure |
P119908
|
FINISHED |
| Object | seasons called "Intel Grand Slam Seasons" |
—
|
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: seasons called "Intel Grand Slam Seasons" | Statement: [Intel Grand Slam, editionStructure, seasons called "Intel Grand Slam Seasons"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionStructure Context triple: [Intel Grand Slam, editionStructure, seasons called "Intel Grand Slam Seasons"]
-
A.
edition
Indicates that one entity is a specific version, issue, or release of another (typically a work such as a book, journal, or software).
-
B.
editionExample
Indicates that one entity is an example or specific instance of a particular edition of another entity.
-
C.
editionPattern
chosen
Indicates a recurring structure or template that characterizes how different editions or versions of something are organized or produced.
-
D.
editionSize
Indicates the total number of copies or instances produced in a particular edition of something.
-
E.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 6:09 a.m.