Triple
T38634475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gulag |
E937540
|
entity |
| Predicate | weaponTypesAvailable |
P101027
|
FINISHED |
| Object | assault rifles |
—
|
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: assault rifles | Statement: [The Gulag, weaponTypesAvailable, assault rifles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponTypesAvailable Context triple: [The Gulag, weaponTypesAvailable, assault rifles]
-
A.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
B.
weaponTypeTested
Indicates that a specific type of weapon has been subjected to a test or evaluation in the described context.
-
C.
weaponExamples
Indicates that one entity is an example or instance of a weapon associated with another entity.
-
D.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
E.
typeOfWeaponsStockpile
chosen
Indicates that one entity specifies the kind or category of weapons contained within another entity’s stockpile.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:32 p.m.