Triple
T24956525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEMHUS |
E624486
|
entity |
| Predicate | sportingBodyContext |
P158753
|
FINISHED |
| Object | NBA G League operations |
—
|
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: NBA G League operations | Statement: [MEMHUS, sportingBodyContext, NBA G League operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingBodyContext Context triple: [MEMHUS, sportingBodyContext, NBA G League operations]
-
A.
hasSportsBody
Indicates that an entity possesses a body or physique that is characteristic of someone who regularly engages in sports or athletic activities.
-
B.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
sportsName
Indicates the specific sport associated with or played in a given context or event.
-
D.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
-
E.
multiSport
Indicates that an entity participates in, is associated with, or is designed for more than one sport.
- F. None of above. chosen
Provenance (4 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 5:57 a.m.