Triple
T1603153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan National Police |
E34439
|
entity |
| Predicate | statusAfter2021 |
P13710
|
FINISHED |
| Object | effectively dissolved as national police of the former republic |
—
|
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: effectively dissolved as national police of the former republic | Statement: [Afghan National Police, statusAfter2021, effectively dissolved as national police of the former republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2021 Context triple: [Afghan National Police, statusAfter2021, effectively dissolved as national police of the former republic]
-
A.
statusAfter2010
Indicates the condition or state of an entity specifically in the period after the year 2010.
-
B.
laterStatus
chosen
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
C.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
modernStatus
Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
-
E.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in time.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.