Triple
T4638329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partitions of Poland |
E101588
|
entity |
| Predicate | numberOfPartitions |
P57912
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Partitions of Poland, numberOfPartitions, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPartitions Context triple: [Partitions of Poland, numberOfPartitions, 3]
-
A.
numberOfMembersAfterPartition
Indicates the resulting count of members in each subset or group after a partitioning operation has been applied.
-
B.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
C.
numberOfPrimaryMirrorSegments
Indicates the total count of individual segments that make up a system’s primary mirror.
-
D.
positionOnPartition
Indicates that one entity occupies or is located at a specific position along a defined partition or dividing boundary.
-
E.
hasPartitionFunction
Indicates that an entity is associated with a specific partition function that characterizes its statistical or thermodynamic behavior.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a64214481908a207e8070cc7a45 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f7b94481909f3335312becd446 |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.