Triple
T20762323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrabble (in North America) |
E511002
|
entity |
| Predicate | numberOfBlankTiles |
P141419
|
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: [Scrabble (in North America), numberOfBlankTiles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBlankTiles Context triple: [Scrabble (in North America), numberOfBlankTiles, 2]
-
A.
tileCount
Indicates the number of tiles associated with or contained by a given entity or area.
-
B.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
C.
numberOfChips
Indicates the quantity of chips associated with a given entity or situation.
-
D.
numberOfMatchesForAllBlacks
Indicates the total count of matches or occurrences involving all black entities in the given context.
-
E.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:35 p.m.