Triple
T30333679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian Military Merit Order |
E771555
|
entity |
| Predicate | canBeAwardedWith |
P146382
|
FINISHED |
| Object | swords |
—
|
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: swords | Statement: [Bavarian Military Merit Order, canBeAwardedWith, swords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAwardedWith Context triple: [Bavarian Military Merit Order, canBeAwardedWith, swords]
-
A.
canBeAwarded
Indicates that an entity is eligible to receive or be granted a particular award, prize, or honor.
-
B.
mayBeAwardedWith
chosen
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
C.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
D.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
E.
cannotBeAwardedWith
Indicates that one entity is not allowed or not eligible to receive a particular award, prize, or recognition from 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 29, 2026, 7:53 p.m.