Triple
T20762330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrabble (in North America) |
E511002
|
entity |
| Predicate | startingTileCountPerPlayer |
P78787
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Scrabble (in North America), startingTileCountPerPlayer, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingTileCountPerPlayer Context triple: [Scrabble (in North America), startingTileCountPerPlayer, 7]
-
A.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
B.
tileCount
chosen
Indicates the number of tiles associated with or contained by a given entity or area.
-
C.
numberOfChips
Indicates the quantity of chips associated with a given entity or situation.
-
D.
playerNumber
Indicates the specific jersey or identification number assigned to a player within a team or game context.
-
E.
originalPlayersPerTeam
Indicates the number of players that each team initially had at the start of a game or season.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2493a188190a336a35ea134e5f7 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.