Triple
T6833487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli lemniscate |
E157392
|
entity |
| Predicate | maximumDistanceFromOrigin |
P46842
|
FINISHED |
| Object | a/√2 |
—
|
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: a/√2 | Statement: [Bernoulli lemniscate, maximumDistanceFromOrigin, a/√2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDistanceFromOrigin Context triple: [Bernoulli lemniscate, maximumDistanceFromOrigin, a/√2]
-
A.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
B.
distanceFromEarthCenter
Indicates the measured or calculated spatial distance between an entity and the center of the Earth.
-
C.
maximumMagnitude
chosen
Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given 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.