Triple
T36957452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die, Führer, Die! |
E914223
|
entity |
| Predicate | hasWeaponAvailable |
P166460
|
FINISHED |
| Object | machine gun |
—
|
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: machine gun | Statement: [Die, Führer, Die!, hasWeaponAvailable, machine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponAvailable Context triple: [Die, Führer, Die!, hasWeaponAvailable, machine gun]
-
A.
hasWeaponOption
chosen
Indicates that an entity has a particular weapon available as a selectable or usable option.
-
B.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
C.
hasKillerWeapon
Indicates that a particular weapon was used by an entity to commit a killing.
-
D.
hasHumanBuiltWeapon
Indicates that an entity possesses, controls, or is equipped with a weapon that has been constructed or manufactured by humans.
-
E.
hasMagazine
Indicates that one entity possesses, contains, or is equipped with a magazine (such as a periodical or an ammunition magazine).
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:13 p.m.