Triple
T24895797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Member of the Order of Military Merit |
E623134
|
entity |
| Predicate | insigniaReverseFeature |
P105303
|
FINISHED |
| Object | inscribed with the grade and order name |
—
|
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: inscribed with the grade and order name | Statement: [Member of the Order of Military Merit, insigniaReverseFeature, inscribed with the grade and order name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaReverseFeature Context triple: [Member of the Order of Military Merit, insigniaReverseFeature, inscribed with the grade and order name]
-
A.
insigniaDesignFeature
chosen
Indicates a design element or characteristic that forms part of an insignia.
-
B.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
C.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
D.
insigniaBackground
Indicates the background color, pattern, or design element that appears behind an insignia.
-
E.
insigniaCenter
Indicates that one entity is positioned at or serves as the central element of another entity’s insignia or emblem.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:26 a.m.