Triple
T34592723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Division (Meritorious Service Medal) |
E888228
|
entity |
| Predicate | classificationOf |
P180385
|
FINISHED |
| Object | Meritorious Service Medal |
—
|
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: Meritorious Service Medal | Statement: [Civil Division (Meritorious Service Medal), classificationOf, Meritorious Service Medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationOf Context triple: [Civil Division (Meritorious Service Medal), classificationOf, Meritorious Service Medal]
-
A.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
B.
theoryClassification
Indicates how a given theory is categorized or classified within a particular conceptual or disciplinary framework.
-
C.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
D.
outputClassification
Indicates how a given output is categorized or labeled according to a specified classification scheme.
-
E.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
- F. None of above. chosen
Provenance (4 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73b731ec881908f3e4d5e97d31908 |
completed | May 3, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69f73a3a5d008190971cbde33409682b |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73b72691481908a79ac4e4e9d8d51 |
completed | May 3, 2026, 12:11 p.m. |
Created at: May 1, 2026, 2:03 a.m.