Triple
T6833493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli lemniscate |
E157392
|
entity |
| Predicate | topologicalType |
P1372
|
FINISHED |
| Object | figure-eight graph |
—
|
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: figure-eight graph | Statement: [Bernoulli lemniscate, topologicalType, figure-eight graph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topologicalType Context triple: [Bernoulli lemniscate, topologicalType, figure-eight graph]
-
A.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
-
B.
topologicalStatement
Indicates that a statement expresses a relationship or property defined in terms of topological concepts such as continuity, openness, closeness, or convergence.
-
C.
usesTopology
Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
-
D.
topology
chosen
Indicates the structural or spatial arrangement and connectivity pattern among components within a system.
-
E.
hasTopographicalRole
Indicates that an entity serves a specific functional or positional role within a topographical or spatial context.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.