Triple
T8729806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pionierpanzer 2 |
E207222
|
entity |
| Predicate | hasHull |
P6097
|
FINISHED |
| Object | modified Leopard 1 hull |
—
|
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: modified Leopard 1 hull | Statement: [Pionierpanzer 2, hasHull, modified Leopard 1 hull]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHull Context triple: [Pionierpanzer 2, hasHull, modified Leopard 1 hull]
-
A.
hasHullType
chosen
Indicates that an entity possesses or is characterized by a specific type or form of hull.
-
B.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
-
C.
hasOuterRingComponent
Indicates that an entity includes another entity as a component specifically located in its outer ring.
-
D.
hasGeometry
Indicates that an entity is associated with a specific geometric representation or spatial form.
-
E.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d19fdc88190860e0c9c93ab79ce |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:37 p.m.