Triple
T8741834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S7 Group |
E207520
|
entity |
| Predicate | ownsSubsidiary |
P9212
|
FINISHED |
| Object | S7 Training |
E207515
|
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: S7 Training | Statement: [S7 Group, ownsSubsidiary, S7 Training]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S7 Training Context triple: [S7 Group, ownsSubsidiary, S7 Training]
-
A.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
S7
chosen
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
-
C.
Siemens S70
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
-
D.
Integrated Training Service
The Integrated Training Service is a unit within the United Nations Department of Peace Operations responsible for developing, coordinating, and supporting training for UN peacekeeping personnel.
-
E.
Worker Training Program
The Worker Training Program is a National Institute of Environmental Health Sciences initiative that provides health and safety training to workers involved in hazardous materials handling, emergency response, and environmental cleanup.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d6fd5dc8190906b7147f27c5d46 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42f282e48190ad158063e265e0f0 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.