Triple
T1299033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Mokra |
E27718
|
entity |
| Predicate | polishForcesType |
P6154
|
FINISHED |
| Object | 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: cavalry | Statement: [Battle of Mokra, polishForcesType, cavalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polishForcesType Context triple: [Battle of Mokra, polishForcesType, cavalry]
-
A.
PolishCommander
Indicates that an entity serves as a military commander associated with Poland.
-
B.
PolishCasualties
Indicates the number or extent of casualties suffered by Polish forces or population in a given conflict or event.
-
C.
occupationForcesCommandedBy
Indicates that a particular occupation force is under the command or authority of a specified commander or commanding entity.
-
D.
besiegingForce
Indicates a military group that is surrounding and attacking a target location or force in an attempt to capture or subdue it.
-
E.
typeOfTroops
chosen
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.