Triple
T10310000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tu-128 |
E241862
|
entity |
| Predicate | primaryOperatingRegion |
P1103
|
FINISHED |
| Object | Soviet Arctic regions |
—
|
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: Soviet Arctic regions | Statement: [Tu-128, primaryOperatingRegion, Soviet Arctic regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOperatingRegion Context triple: [Tu-128, primaryOperatingRegion, Soviet Arctic regions]
-
A.
primaryTerritory
chosen
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
B.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
C.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
D.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
E.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
- F. None of above.
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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:47 a.m.