Triple
T25930061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wythoff Nim |
E653413
|
entity |
| Predicate | hasPositionNotation |
P4882
|
FINISHED |
| Object | ordered pair of nonnegative integers (a, b) |
—
|
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: ordered pair of nonnegative integers (a, b) | Statement: [Wythoff Nim, hasPositionNotation, ordered pair of nonnegative integers (a, b)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionNotation Context triple: [Wythoff Nim, hasPositionNotation, ordered pair of nonnegative integers (a, b)]
-
A.
positionInNotation
Indicates the specific place or index that an element occupies within a given ordered notation or representation.
-
B.
gameNotation
Indicates a standardized symbolic representation of moves or states within a game.
-
C.
WhyteNotation
Indicates a classification relationship where a steam locomotive is described by its wheel arrangement using the Whyte notation system.
-
D.
appearsInNotation
Indicates that one entity is represented, referenced, or depicted within the formal notation or symbolic system associated with another entity.
-
E.
typicalNotation
chosen
Indicates that one entity is the standard or commonly used symbolic representation (notation) for 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 22, 2026, 8:36 a.m.