Triple
T1483941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conway’s Game of Sprouts |
E29420
|
entity |
| Predicate | positionRepresentation |
P11038
|
FINISHED |
| Object | planar embedding of a graph with degree constraints |
—
|
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: planar embedding of a graph with degree constraints | Statement: [Conway’s Game of Sprouts, positionRepresentation, planar embedding of a graph with degree constraints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRepresentation Context triple: [Conway’s Game of Sprouts, positionRepresentation, planar embedding of a graph with degree constraints]
-
A.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
B.
stateRepresentation
chosen
Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
-
C.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
D.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
E.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.