Triple
T5413552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS (Sareen Sports) |
E121068
|
entity |
| Predicate | targetSport |
P24022
|
FINISHED |
| Object | cricket |
—
|
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: cricket | Statement: [SS (Sareen Sports), targetSport, cricket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetSport Context triple: [SS (Sareen Sports), targetSport, cricket]
-
A.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
B.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
C.
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.
-
D.
popularSport
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
E.
sportsName
chosen
Indicates the specific sport associated with or played in a given context or event.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bb3c0c81908711784bc865ff03 |
completed | March 20, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.