Triple
T32690558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASAMS |
E835844
|
entity |
| Predicate | firstDeploymentCountry |
P124773
|
FINISHED |
| Object | Norway |
E2896
|
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: Norway | Statement: [NASAMS, firstDeploymentCountry, Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDeploymentCountry Context triple: [NASAMS, firstDeploymentCountry, Norway]
-
A.
countryOfFirstDeployment
chosen
Indicates the country where something (such as equipment, technology, or a system) was first put into operational use or service.
-
B.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
-
C.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
D.
launchedInCountry
Indicates that an entity (such as a product, service, or mission) was officially initiated, introduced, or started within a specified country.
-
E.
firstCommercialNetworkCountry
Indicates the country where a given entity first launched or operated its commercial network.
- F. None of above.
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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c662c1a4819091cf85baab249018 |
completed | June 19, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:09 a.m.