Triple
T36340841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of La Rothière (1814) |
E894915
|
entity |
| Predicate | FrenchArtilleryApprox |
P110014
|
FINISHED |
| Object | about 128 guns |
—
|
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: about 128 guns | Statement: [Battle of La Rothière (1814), FrenchArtilleryApprox, about 128 guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrenchArtilleryApprox Context triple: [Battle of La Rothière (1814), FrenchArtilleryApprox, about 128 guns]
-
A.
FrenchImperialGunsLost
Indicates that French imperial forces lost their artillery or guns in a particular event or context.
-
B.
artilleryUsedBy
Indicates that a particular artillery asset is operated or employed by a specified user, such as a military unit, organization, or country.
-
C.
artillerySource
Indicates that one entity serves as the origin or launching point from which artillery fire or munitions are deployed toward another entity or location.
-
D.
FrenchUnit
Indicates that a unit or entity is associated with France, typically by origin, affiliation, or national identity.
-
E.
artilleryPiecesUsed
chosen
Indicates that certain artillery pieces were employed or deployed in a particular action, event, or context.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.