Triple
T24895779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Member of the Order of Military Merit |
E623134
|
entity |
| Predicate | insigniaCentralDevice |
P63350
|
FINISHED |
| Object | maple leaf within laurel wreath |
—
|
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: maple leaf within laurel wreath | Statement: [Member of the Order of Military Merit, insigniaCentralDevice, maple leaf within laurel wreath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaCentralDevice Context triple: [Member of the Order of Military Merit, insigniaCentralDevice, maple leaf within laurel wreath]
-
A.
insigniaCenter
chosen
Indicates that one entity is positioned at or serves as the central element of another entity’s insignia or emblem.
-
B.
insigniaStatus
Indicates the current condition, validity, or official standing of an insignia in relation to its intended use or recognition.
-
C.
insigniaCategory
Indicates the classification or type of an insignia within a defined system of insignia categories.
-
D.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
E.
insigniaLocation
Indicates the physical position or placement of an insignia on or relative to an 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:26 a.m.