Triple
T25433385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pólya’s urn model |
E637314
|
entity |
| Predicate | typicalInitialCondition |
P55162
|
FINISHED |
| Object | finite number of balls of each color |
—
|
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: finite number of balls of each color | Statement: [Pólya’s urn model, typicalInitialCondition, finite number of balls of each color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInitialCondition Context triple: [Pólya’s urn model, typicalInitialCondition, finite number of balls of each color]
-
A.
secondKindInitialConditions
Indicates that the relationship involves specifying second-kind (Neumann-type) initial conditions, typically defining derivative-based or flux-related values at the start of a process or simulation.
-
B.
typicalStartType
Indicates the usual or most common type or category in which something begins or is initiated.
-
C.
typicalInitialization
chosen
Indicates the standard or commonly used way an entity is initially set up, configured, or brought into a valid starting state.
-
D.
typicalTrackCondition
Indicates the usual or standard state or quality of a track under normal conditions.
-
E.
typicalSeed
Indicates that something is a usual or characteristic seed for a given plant or 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 21, 2026, 1:58 p.m.