Triple
T5654488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Bell |
E124583
|
entity |
| Predicate | numberOfMatchesPlayed |
P3204
|
FINISHED |
| Object | 48 for England |
—
|
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: 48 for England | Statement: [Colin Bell, numberOfMatchesPlayed, 48 for England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMatchesPlayed Context triple: [Colin Bell, numberOfMatchesPlayed, 48 for England]
-
A.
qualificationMatchesPlayed
Indicates that the number of qualification matches associated with an entity has been played or completed.
-
B.
leagueMatchesPlayed
Indicates the number of matches an entity has participated in within a specific league competition.
-
C.
odiMatchesPlayed
Indicates the number of One Day International (ODI) cricket matches that have been played by or between the referenced entities.
-
D.
gamesPlayed
chosen
Indicates the number or set of games that an entity has participated in or completed.
-
E.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f998688190b18eb6469e8c054f |
completed | March 22, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.