Triple
T17960775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODI |
E449074
|
entity |
| Predicate | typicalOversPerSideRange |
P57800
|
FINISHED |
| Object | 40–60 overs historically |
—
|
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: 40–60 overs historically | Statement: [ODI, typicalOversPerSideRange, 40–60 overs historically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOversPerSideRange Context triple: [ODI, typicalOversPerSideRange, 40–60 overs historically]
-
A.
oversPerSide
chosen
Indicates the number of overs allocated to each side (team or player) in a match or contest.
-
B.
typicalNumberOfGamesRange
Indicates the usual minimum and maximum number of games typically played in the associated context or setting.
-
C.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
D.
typicalPegRange
Indicates the usual or standard range of peg values within which something is normally maintained or expected to operate.
-
E.
numberOfPlayersPerTeam
Indicates the quantity of players that are assigned to or allowed on each team in a given 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.