Triple
T1850569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross of the Order of Merit of the Federal Republic of Germany |
E41384
|
entity |
| Predicate | isCivilianDecoration |
P1472
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cross of the Order of Merit of the Federal Republic of Germany, isCivilianDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilianDecoration Context triple: [Cross of the Order of Merit of the Federal Republic of Germany, isCivilianDecoration, true]
-
A.
isCombatDecoration
Indicates that an award or decoration is specifically given for participation or valor in combat or military conflict.
-
B.
isCombatOnlyDecoration
Indicates that the object serves purely decorative purposes and is only visible or relevant during combat, without affecting gameplay outside combat.
-
C.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
D.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
E.
isCivilianAward
chosen
Indicates that an award is designated for civilians rather than military or combat-related recipients.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.