Triple
T882764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reich Main Security Office |
E19062
|
entity |
| Predicate | oversaw |
P760
|
FINISHED |
| Object | SD |
E88012
|
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: SD | Statement: [Reich Main Security Office, oversaw, SD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SD Context triple: [Reich Main Security Office, oversaw, SD]
-
A.
SD
chosen
SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
-
B.
SD
SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
-
C.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
-
D.
DS
DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
-
E.
DS
DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accda4148190aa628dab14d7f5de |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b85883c481909261bde7fdebcde1 |
completed | March 4, 2026, 4:43 a.m. |
Created at: March 1, 2026, 7:39 p.m.