Triple
T12513712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBSC Baseball5 World Cup |
E299143
|
entity |
| Predicate | gameEnvironment |
P67165
|
FINISHED |
| Object | small field |
—
|
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: small field | Statement: [WBSC Baseball5 World Cup, gameEnvironment, small field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameEnvironment Context triple: [WBSC Baseball5 World Cup, gameEnvironment, small field]
-
A.
gameEngine
Indicates that one entity serves as the game engine or core runtime system used to develop, run, or power another entity (such as a game or interactive application).
-
B.
gameContext
Indicates the situational framework or environment in which a game’s actions, rules, and interactions take place.
-
C.
gameElement
Indicates that one entity functions as a component, feature, or part within the structure or mechanics of a game.
-
D.
gameDirector
Indicates that one entity serves as the director (creative or managerial lead) of a particular game associated with another entity.
-
E.
gamingSpace
chosen
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.