Triple
T1875240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Division Series |
E39127
|
entity |
| Predicate | typeOfSeries |
P14858
|
FINISHED |
| Object | best-of-five playoff |
—
|
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: best-of-five playoff | Statement: [American League Division Series, typeOfSeries, best-of-five playoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSeries Context triple: [American League Division Series, typeOfSeries, best-of-five playoff]
-
A.
seriesType
chosen
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
B.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
C.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
D.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
E.
givesSeriesFor
Indicates that one entity provides or assigns a series (such as a sequence, set, or collection) to another entity.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.