Triple
T21073194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanspareils Greenlands |
E519160
|
entity |
| Predicate | sportServed |
P27143
|
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: [Sanspareils Greenlands, sportServed, cricket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportServed Context triple: [Sanspareils Greenlands, sportServed, cricket]
-
A.
servesSport
chosen
Indicates that one entity provides or is used for playing, supporting, or accommodating a particular sport.
-
B.
sportCreated
Indicates that an entity is the originator or inventor of 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.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d491a08190a9f5f28c0b72d38c |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:47 p.m.