Triple
T34533326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose–Mesner algebra |
E886600
|
entity |
| Predicate | hasStructureConstants |
P200667
|
FINISHED |
| Object | intersection numbers |
—
|
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: intersection numbers | Statement: [Bose–Mesner algebra, hasStructureConstants, intersection numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureConstants Context triple: [Bose–Mesner algebra, hasStructureConstants, intersection numbers]
-
A.
hasRealStructureConstants
Indicates that the relationship specifies the actual numerical structure constants defining an algebraic structure (such as a Lie algebra) in a chosen basis.
-
B.
hasDualStructureConstants
Indicates that there exists a corresponding set of structure constants defining a dual (often algebraically or categorically opposite) structure associated with the original one.
-
C.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
D.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
E.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69ff9e90b5248190bdd8d13f966b63e1 |
completed | May 9, 2026, 8:52 p.m. |
Created at: May 1, 2026, 2:02 a.m.