Triple
T314090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopard 2 |
E7668
|
entity |
| Predicate | turretPlacement |
P11887
|
FINISHED |
| Object | center |
—
|
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: center | Statement: [Leopard 2, turretPlacement, center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turretPlacement Context triple: [Leopard 2, turretPlacement, center]
-
A.
turret
Indicates that an entity is equipped with or associated with a turret, typically a rotating weapon or defense mechanism.
-
B.
turretTraverse
Indicates the action or capability of a turret rotating horizontally to change its aiming direction.
-
C.
turretCrew
Indicates that an entity serves as a crew member operating or manning a turret associated with another entity.
-
D.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
E.
airDefenseSystemComponent
Indicates that one entity is a component or subsystem of an air defense system associated with another entity.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4bd6a081909bdb57602c7093b4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e9428098819089d5950cd2c96dc4 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.