Triple
T22829082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Court of Justice |
E565747
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BGH |
—
|
NE NERFINISHED |
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: BGH | Statement: [Federal Court of Justice, shortName, BGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGH Context triple: [Federal Court of Justice, shortName, BGH]
-
A.
BGH
chosen
BGH is the highest court of ordinary jurisdiction in Germany, responsible for final appeals in civil and criminal cases.
-
B.
BGH
BGH is the National Rail station code for Brighouse railway station in West Yorkshire, England.
-
C.
HGH
HGH is the IATA airport code for Hangzhou Xiaoshan International Airport, the main international airport serving Hangzhou in eastern China.
-
D.
DGH
DGH is the stock ticker symbol for Distell Group, a South African producer and marketer of wines, spirits, ciders, and other alcoholic beverages.
-
E.
B.G.
B.G. is an American rapper from New Orleans, best known as a former member of the Hot Boys and an early standout artist on the Cash Money Records label.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.