Triple
T7030616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway’s soldiers |
E163258
|
entity |
| Predicate | boardType |
P71981
|
FINISHED |
| Object | infinite rectangular grid |
—
|
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: infinite rectangular grid | Statement: [Conway’s soldiers, boardType, infinite rectangular grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardType Context triple: [Conway’s soldiers, boardType, infinite rectangular grid]
-
A.
hasBoardType
chosen
Indicates that an entity is associated with or uses a specific type or category of board.
-
B.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
C.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
D.
סוג לוח
Indicates a relationship specifying the type or category of a board (e.g., board format, board kind, or board classification) associated with an entity.
-
E.
mainBoardName
Indicates the name or designation assigned to a main board (e.g., primary circuit board or central hardware board) associated with an entity.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.