Triple
T22991370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Federal Police |
E572056
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | PF |
E1564082
|
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: PF | Statement: [Department of Federal Police, abbreviation, PF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PF Context triple: [Department of Federal Police, abbreviation, PF]
-
A.
PF
PF is the vehicle registration code used on license plates for the German city of Pforzheim.
-
B.
PF
chosen
PF is the abbreviation for the Mexican Federal Police, the former national law enforcement agency responsible for federal policing and public security in Mexico.
-
C.
PF
PF is the Federal Police of Brazil, the national law enforcement agency responsible for investigating federal crimes, border control, and immigration.
-
D.
FP
FP is the Euronext Paris stock ticker symbol for Total S.A., the French multinational integrated oil and gas company.
-
E.
FP
FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182eefd688190853977421540b2ce |
completed | April 29, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a0d34c8190984ed665dcacf7f6 |
completed | May 19, 2026, 5:18 a.m. |
Created at: April 17, 2026, 3:50 p.m.