Triple
T7823850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan National Police |
E181196
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ANP |
E181196
|
NE 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: ANP | Statement: [Afghan National Police, abbreviation, ANP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANP Context triple: [Afghan National Police, abbreviation, ANP]
-
A.
ANP
chosen
ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
-
B.
ANPP
ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
-
C.
ANF
ANF is a French rolling stock manufacturer known for producing various types of railway vehicles and equipment.
-
D.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
E.
AN
AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0abff08190b0245ceca5f20cae |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14aefd4881908ffa5825f4ba6eff |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:42 p.m.