Triple
T7030645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway’s soldiers |
E163258
|
entity |
| Predicate | puzzleType |
P74559
|
FINISHED |
| Object | deterministic perfect-information puzzle |
—
|
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: deterministic perfect-information puzzle | Statement: [Conway’s soldiers, puzzleType, deterministic perfect-information puzzle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: puzzleType Context triple: [Conway’s soldiers, puzzleType, deterministic perfect-information puzzle]
-
A.
typeOfPeg
Indicates that one entity is a specific kind or category of peg in relation to another entity.
-
B.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
D.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
E.
playType
Indicates the specific category or style of play or performance associated with an event or action.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:35 p.m.