Triple
T27891487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bézout’s theorem |
E705365
|
entity |
| Predicate | requiresMultiplicity |
P189336
|
FINISHED |
| Object | intersection points at infinity to be counted |
—
|
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 points at infinity to be counted | Statement: [Bézout’s theorem, requiresMultiplicity, intersection points at infinity to be counted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresMultiplicity Context triple: [Bézout’s theorem, requiresMultiplicity, intersection points at infinity to be counted]
-
A.
multiplicity
Indicates the number of instances of one entity that can or must be associated with a single instance of another entity within a relationship.
-
B.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
C.
canBeMultiple
Indicates that the related item, value, or association is allowed to occur more than once rather than being restricted to a single instance.
-
D.
requiresUniformity
Indicates that one entity imposes a condition that another entity (or set of entities) must be consistent or identical in a specified aspect.
-
E.
requiresSpecificityFor
Indicates that one entity or condition must be defined or described with a higher level of detail or precision in order for another entity, action, or process to be valid or applicable.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 27, 2026, 6:36 p.m.