Triple
T7030617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway’s soldiers |
E163258
|
entity |
| Predicate | pieceType |
P74319
|
FINISHED |
| Object | identical checkers-like pieces |
—
|
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: identical checkers-like pieces | Statement: [Conway’s soldiers, pieceType, identical checkers-like pieces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pieceType Context triple: [Conway’s soldiers, pieceType, identical checkers-like pieces]
-
A.
typeOfPeg
chosen
Indicates that one entity is a specific kind or category of peg in relation to another entity.
-
B.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
-
C.
typeOfBishop
Indicates that one entity is a specific kind or category of bishop in relation to another entity.
-
D.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
E.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another 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.