Triple
T35927559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10.5 cm leFH 18 |
E1039067
|
entity |
| Predicate | carriage |
P47469
|
FINISHED |
| Object | split trail 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: split trail carriage | Statement: [10.5 cm leFH 18, carriage, split trail carriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriage Context triple: [10.5 cm leFH 18, carriage, split trail carriage]
-
A.
carriageType
chosen
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
B.
carriageMaterial
Indicates the material from which a carriage or its main structural components are made.
-
C.
carriagesInvolved
Indicates that specific carriages are participants in, or affected by, the referenced event or situation.
-
D.
railwayCarriageUsedFor
Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
-
E.
chariotOf
Indicates that one entity serves as the chariot belonging to, used by, or associated with another entity.
- 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.