Triple
T7116740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Bertha howitzer |
E165838
|
entity |
| Predicate | firingPlatform |
P74643
|
FINISHED |
| Object | rail‑mounted carriage |
—
|
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: rail‑mounted carriage | Statement: [Big Bertha howitzer, firingPlatform, rail‑mounted carriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firingPlatform Context triple: [Big Bertha howitzer, firingPlatform, rail‑mounted carriage]
-
A.
bombingPlatform
Indicates that one entity serves as the platform or means from which another entity conducts or carries out a bombing.
-
B.
firingDirection
Indicates the direction or trajectory along which a firing action (such as shooting or launching a projectile) is aimed or executed.
-
C.
designedToFire
Indicates that one entity is intended or configured to discharge, launch, or emit another entity (such as a projectile, signal, or event).
-
D.
ceremonialPlatform
Indicates a relationship where an entity serves as or is associated with a specially constructed platform used for ceremonies or ritual events.
-
E.
fireSupportType
Indicates the specific kind or category of supporting fire (such as artillery, air support, or naval gunfire) being provided in a military context.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:43 p.m.