Triple
T12085282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Marchfeld |
E287789
|
entity |
| Predicate | usedTroopType |
P6154
|
FINISHED |
| Object | heavy cavalry |
—
|
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: heavy cavalry | Statement: [Battle of Marchfeld, usedTroopType, heavy cavalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTroopType Context triple: [Battle of Marchfeld, usedTroopType, heavy cavalry]
-
A.
typeOfTroops
chosen
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
B.
usedWarfareType
Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
-
C.
suppliedTroopsTo
Indicates that one entity provided military personnel or forces to another entity.
-
D.
hasMilitaryUnitTypeCommanded
Indicates that a person or entity has commanded a military unit of a specified type (e.g., battalion, brigade, division).
-
E.
enemyForceType
Indicates that one entity is characterized as a hostile or opposing force of a specified type relative to another entity.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.