Triple
T36527999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht am Morgarten |
E900358
|
entity |
| Predicate | GegnerischerAnführer |
P1698
|
FINISHED |
| Object | Leopold I. von Österreich |
—
|
NE NERFINISHED |
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: Leopold I. von Österreich | Statement: [Schlacht am Morgarten, GegnerischerAnführer, Leopold I. von Österreich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GegnerischerAnführer Context triple: [Schlacht am Morgarten, GegnerischerAnführer, Leopold I. von Österreich]
-
A.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
-
B.
opposingCommander
chosen
Indicates that one entity serves as the commanding officer of a force that is in opposition or conflict with the force commanded by another entity.
-
C.
belligerentLeader
Indicates that an entity serves as a leader or authority figure of a party engaged in a conflict, war, or hostile confrontation.
-
D.
besieger
Indicates that one entity is laying siege to, or conducting a siege against, another entity.
-
E.
opponentMonarch
Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.