Triple
T7904423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ping-pong diplomacy |
E183535
|
entity |
| Predicate | sportUsed |
P5086
|
FINISHED |
| Object | table tennis |
—
|
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: table tennis | Statement: [Ping-pong diplomacy, sportUsed, table tennis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportUsed Context triple: [Ping-pong diplomacy, sportUsed, table tennis]
-
A.
sportsBrand
Indicates that one entity is a sports-related brand or label associated with the other entity.
-
B.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
C.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
D.
usedInSport
chosen
Indicates that something (such as an object, technique, or concept) is employed or utilized within the context of a particular sport.
-
E.
sponsorSport
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.