Triple
T7924628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand tank destroyer |
E184028
|
entity |
| Predicate | gunMount |
P57777
|
FINISHED |
| Object | casemate |
—
|
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: casemate | Statement: [Ferdinand tank destroyer, gunMount, casemate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunMount Context triple: [Ferdinand tank destroyer, gunMount, casemate]
-
A.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
B.
sightMounting
Indicates that an entity is equipped with or has a sighting device installed or mounted onto it.
-
C.
weaponMount
chosen
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on another entity.
-
D.
gunStabilisation
Indicates that an entity performs or provides stabilization for a gun, reducing its movement or recoil to improve accuracy.
-
E.
bellMounting
Indicates that one entity is mounted, fixed, or installed as a bell onto another supporting structure or surface.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aac02bc8190b13fc354a4fa91d3 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.