Triple
T29106819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiqi |
E736783
|
entity |
| Predicate | typicalBoardSize |
P67473
|
FINISHED |
| Object | 19x19 |
—
|
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: 19x19 | Statement: [Weiqi, typicalBoardSize, 19x19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBoardSize Context triple: [Weiqi, typicalBoardSize, 19x19]
-
A.
hasBoardSize
Indicates that an entity is associated with a board whose dimensions or overall size are specified.
-
B.
typicalNumberOfPlayers
Indicates the usual or standard number of players involved in participating in an activity or game.
-
C.
usesBoardShape
Indicates that one entity employs or is designed to work with a particular board shape as part of its function or configuration.
-
D.
typicalDimension
chosen
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
E.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a017590e01c8190b985bb50cc6cd605 |
completed | May 11, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_6a0175406b348190a5809b5f3497d46f |
completed | May 11, 2026, 6:20 a.m. |
Created at: April 28, 2026, 11:16 a.m.