Triple
T33666496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 15 cm sFH 18/1 (Sf) auf Geschützwagen III/IV (Hummel) |
E862506
|
entity |
| Predicate | frontPlacement |
P177642
|
FINISHED |
| Object | engine in front compartment |
—
|
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: engine in front compartment | Statement: [15 cm sFH 18/1 (Sf) auf Geschützwagen III/IV (Hummel), frontPlacement, engine in front compartment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontPlacement Context triple: [15 cm sFH 18/1 (Sf) auf Geschützwagen III/IV (Hummel), frontPlacement, engine in front compartment]
-
A.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
-
B.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
C.
frontOf
Indicates that one entity is positioned directly before another along a primary viewing or movement direction.
-
D.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
E.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:42 a.m.