Triple
T3709836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urząd Bezpieczeństwa |
E80981
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UB |
E80980
|
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: UB | Statement: [Urząd Bezpieczeństwa, shortName, UB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UB Context triple: [Urząd Bezpieczeństwa, shortName, UB]
-
A.
UB
chosen
UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
-
B.
UB
UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
-
C.
UB
UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
-
D.
UMB
UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
-
E.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc58233788190be3b912a50f61443 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db06e8e481908d1f026ce647a6a5 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.