Triple
T20462950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playoff P |
E501972
|
entity |
| Predicate | firstWidelyUsed |
P81534
|
FINISHED |
| Object | 2018 NBA playoffs |
—
|
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: 2018 NBA playoffs | Statement: [Playoff P, firstWidelyUsed, 2018 NBA playoffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWidelyUsed Context triple: [Playoff P, firstWidelyUsed, 2018 NBA playoffs]
-
A.
firstWidelyUsedDuring
chosen
Indicates that something (such as a concept, technology, or practice) came into its first period of broad or widespread use during a specified time or era.
-
B.
firstWidelyUsedFor
Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
-
C.
firstProminentUse
Indicates the earliest notable or widely recognized instance in which something was used in a significant or influential way.
-
D.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
E.
firstWidelyObserved
Indicates that something was initially noticed or recorded by a large number of observers or across a broad context for the first time.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a761648190b24cf4bb90a8abb1 |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.