Triple
T8482413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go |
E200551
|
entity |
| Predicate | commonBoardSize |
P32162
|
FINISHED |
| Object | 13x13 |
—
|
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: 13x13 | Statement: [Go, commonBoardSize, 13x13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonBoardSize Context triple: [Go, commonBoardSize, 13x13]
-
A.
hasBoardSize
chosen
Indicates that an entity is associated with a board whose dimensions or overall size are specified.
-
B.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
C.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
D.
mainBoardName
Indicates the name or designation assigned to a main board (e.g., primary circuit board or central hardware board) associated with an entity.
-
E.
hasBoardComposition
Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.