Triple
T1516307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reich government |
E32126
|
entity |
| Predicate | usedSecurityApparatus |
P2728
|
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 government, usedSecurityApparatus, SD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SD Context triple: [Reich government, usedSecurityApparatus, SD]
-
A.
SD
SD is the commonly used abbreviation for Norway's Ministry of Transport, the government body responsible for national transport policy and infrastructure.
-
B.
SD
SD is the standard abbreviation for the San Diego Padres, a Major League Baseball team based in San Diego, California.
-
C.
SD
chosen
SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
-
D.
SV
SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
-
E.
SV
SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61dc6ab881908b22aa7a5295bf21 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad23429f1c81909f435030de687675 |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:26 p.m.