Triple
T25106331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Helicopters |
E628875
|
entity |
| Predicate | roleInRussia |
P167248
|
FINISHED |
| Object | key defense industrial asset |
—
|
LITERAL 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: key defense industrial asset | Statement: [Russian Helicopters, roleInRussia, key defense industrial asset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRussia Context triple: [Russian Helicopters, roleInRussia, key defense industrial asset]
-
A.
roleInSovietUnion
Indicates that an entity held a specific position, function, or status within the governmental, political, or institutional structure of the Soviet Union.
-
B.
roleDuringRussianCivilWar
Indicates the specific function, position, or involvement an entity had during the period of the Russian Civil War.
-
C.
roleInRepublic
Indicates that an entity holds or plays a specific role or function within a republic or republican system.
-
D.
positionOnRussia
Indicates the stance, opinion, or policy that one entity holds regarding Russia.
-
E.
roleInGeorgia
Indicates that an entity holds or has held a specific role, position, or function within the context of Georgia (such as its government, institutions, or organizations).
- F. None of above. chosen
Provenance (4 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 18, 2026, 6:26 a.m.