Triple
T19132755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maclaurin spheroid |
E468354
|
entity |
| Predicate | hasLimitingSequence |
P134530
|
FINISHED |
| Object | Jacobi sequence of triaxial ellipsoids |
—
|
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: Jacobi sequence of triaxial ellipsoids | Statement: [Maclaurin spheroid, hasLimitingSequence, Jacobi sequence of triaxial ellipsoids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitingSequence Context triple: [Maclaurin spheroid, hasLimitingSequence, Jacobi sequence of triaxial ellipsoids]
-
A.
hasLimitSet
Indicates that there is a defined boundary, range, or constraint applied to something.
-
B.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
C.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
D.
hasContinuousSequence
Indicates that there exists an unbroken, ordered sequence or range connecting the related entities without gaps.
-
E.
isSequence
Indicates that one entity is an ordered list or succession of elements arranged in a specific, meaningful order.
- F. None of above. chosen
Provenance (4 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ea82f08190811ef35fbae744d1 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.