Triple
T37438888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagdpanther |
E930354
|
entity |
| Predicate | frontGunTraverse |
P188941
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Jagdpanther, frontGunTraverse, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontGunTraverse Context triple: [Jagdpanther, frontGunTraverse, limited]
-
A.
turretTraverse
Indicates the action or capability of a turret rotating horizontally to change its aiming direction.
-
B.
frontLineDirection
Indicates the primary orientation or bearing in which the front line of a conflict, formation, or boundary is facing or advancing.
-
C.
frontLineNear
Indicates that one entity is located close to the primary boundary or front line associated with another entity.
-
D.
frontAgainst
Indicates that one entity is positioned with its front side directly facing or pressed against the surface or side of another entity.
-
E.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 3, 2026, 4:17 p.m.