Triple
T5686266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XI Corps (Union Army of the Potomac) |
E125320
|
entity |
| Predicate | languageOfManySoldiers |
P10179
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [XI Corps (Union Army of the Potomac), languageOfManySoldiers, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfManySoldiers Context triple: [XI Corps (Union Army of the Potomac), languageOfManySoldiers, German]
-
A.
combatantLanguage
chosen
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
languageOfConquerors
Indicates that a language is associated with, used by, or imposed by a conquering group over the people or territory they have subjugated.
-
C.
languageOfVictims
Indicates the language or languages spoken or used by the victims involved in an event or situation.
-
D.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
E.
languageOfYells
Indicates a relationship where a particular language is used as the medium or form of someone’s yelling or shouted expressions.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.