Triple
T326454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Toulon |
E6529
|
entity |
| Predicate | notableCommanderRole |
P9463
|
FINISHED |
| Object | Napoleon Bonaparte as artillery commander |
—
|
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: Napoleon Bonaparte as artillery commander | Statement: [Siege of Toulon, notableCommanderRole, Napoleon Bonaparte as artillery commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCommanderRole Context triple: [Siege of Toulon, notableCommanderRole, Napoleon Bonaparte as artillery commander]
-
A.
notableCommanderAllies
Indicates that the subject commander has notable allied commanders with whom they are significantly associated or have cooperated.
-
B.
notableCommanderAxis
Indicates that the subject entity had a notable military commander role or position on the Axis side in a conflict or war.
-
C.
commander
Indicates that one entity holds authoritative military or organizational control over another entity or group.
-
D.
notableRiverCrossingRole
Indicates that an entity plays a significant role as a location or feature involved in the crossing of a river.
-
E.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea974d8481908c7d84f72a7728b6 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.