Triple
T38263340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WHA playoffs |
E1017985
|
entity |
| Predicate | typicalSeriesLength |
P147639
|
FINISHED |
| Object | best-of-seven |
—
|
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-seven | Statement: [WHA playoffs, typicalSeriesLength, best-of-seven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSeriesLength Context triple: [WHA playoffs, typicalSeriesLength, best-of-seven]
-
A.
typicalSeasonSeriesLength
Indicates the usual number of episodes or installments that make up a single season of a series.
-
B.
typicalSeriesLengthTests
Indicates the standard or expected number of tests that typically occur within a given series.
-
C.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
D.
typicalBoutLength
Indicates the usual or characteristic duration of a single bout or episode of an activity or behavior.
-
E.
typicalSeriesFormat
chosen
Indicates that one entity represents the usual or standard format or structure in which a given series is presented or organized.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.