Triple
T21356438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erwin Schulz |
E526638
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | SS |
—
|
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: SS | Statement: [Erwin Schulz, memberOf, SS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SS Context triple: [Erwin Schulz, memberOf, SS]
-
A.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
-
B.
SS
SS is the two-letter ISO 3166-1 alpha-2 country code assigned to South Sudan.
-
C.
SS
SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
-
D.
SS
chosen
The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
-
E.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa0fca481908f1fd02154bcba9f |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.