Triple
T7871968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi’s four-square theorem |
E182757
|
entity |
| Predicate | variableCondition |
P79479
|
FINISHED |
| Object | x, y, z, t ∈ ℤ |
—
|
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: x, y, z, t ∈ ℤ | Statement: [Jacobi’s four-square theorem, variableCondition, x, y, z, t ∈ ℤ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variableCondition Context triple: [Jacobi’s four-square theorem, variableCondition, x, y, z, t ∈ ℤ]
-
A.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
targetedCondition
Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
-
C.
triggerCondition
Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
-
D.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
E.
varietyCondition
Indicates a condition, constraint, or context under which a particular variety or variant of something applies or is relevant.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a5950481908399211c5dfe2569 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:56 p.m.