Triple
T642053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armed Forces of the Republic of Poland |
E16759
|
entity |
| Predicate | serviceBranchCount |
P1989
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Armed Forces of the Republic of Poland, serviceBranchCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBranchCount Context triple: [Armed Forces of the Republic of Poland, serviceBranchCount, 5]
-
A.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
-
B.
branchCount
chosen
Indicates the number of branches associated with a given entity or structure.
-
C.
numberOfStores
Indicates the total count of stores associated with a given entity or context.
-
D.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
E.
branchNetwork
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f02bc2c8190b8a92b2505768c19 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.