Triple
T28353952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Snider |
E718172
|
entity |
| Predicate | inventionUsedInConflict |
P164255
|
FINISHED |
| Object | late 19th-century colonial campaigns |
—
|
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: late 19th-century colonial campaigns | Statement: [Jacob Snider, inventionUsedInConflict, late 19th-century colonial campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inventionUsedInConflict Context triple: [Jacob Snider, inventionUsedInConflict, late 19th-century colonial campaigns]
-
A.
inventionUsedIn
chosen
Indicates that a particular invention is utilized or applied within a specific context, process, product, or activity.
-
B.
inventionUsedBy
Indicates that a particular invention is utilized or employed by a specified entity.
-
C.
usedInventionOf
Indicates that one entity made use of, applied, or implemented the invention created by another entity.
-
D.
developedDuringConflict
Indicates that something was created, advanced, or significantly progressed while an identified conflict (such as a war, dispute, or crisis) was ongoing.
-
E.
eraOfPrimaryMilitaryUse
Indicates the historical time period during which the subject was primarily used for military purposes.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 12:48 a.m.