Triple
T11506142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Steenkerque |
E272788
|
entity |
| Predicate | FrenchCommander |
P19844
|
FINISHED |
| Object | Marshal Luxembourg |
E275050
|
NE 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: Marshal Luxembourg | Statement: [Battle of Steenkerque, FrenchCommander, Marshal Luxembourg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshal Luxembourg Context triple: [Battle of Steenkerque, FrenchCommander, Marshal Luxembourg]
-
A.
Marshal Luxembourg
chosen
Marshal Luxembourg was a prominent French military commander and nobleman who served as Duke of Luxembourg during the reign of Louis XIV.
-
B.
Lütmarsen
Lütmarsen is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
C.
Kellermann
Kellermann is a French surname most notably associated with François Christophe de Kellermann, a Marshal of France during the Napoleonic era.
-
D.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
-
E.
Blücher
Blücher was a German armored cruiser of the Imperial Navy that served in World War I and was famously sunk during the 1915 Battle of Dogger Bank in the North Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624e6e5b88190a2c64dcea1d7791b |
completed | April 20, 2026, 1:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.