Triple
T17076193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Two |
E414353
|
entity |
| Predicate | minimumPlayerCount |
P9344
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Big Two, minimumPlayerCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumPlayerCount Context triple: [Big Two, minimumPlayerCount, 2]
-
A.
minimumNumberOfMembers
chosen
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
B.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
C.
minimumNumberOnCourt
Indicates the smallest required number of participants that must be present on the court for play or a rule condition to be satisfied.
-
D.
minimumPlateAppearancesRequirement
Indicates that there is a minimum number of plate appearances a player must have to qualify for a particular statistic, ranking, or eligibility condition.
-
E.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc559388190b685504cca6ed62b |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.