Triple
T3834322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Vietnam Cross of Gallantry with Palm |
E91091
|
entity |
| Predicate | denotesLevel |
P12271
|
FINISHED |
| Object | armed forces level citation |
—
|
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: armed forces level citation | Statement: [Republic of Vietnam Cross of Gallantry with Palm, denotesLevel, armed forces level citation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesLevel Context triple: [Republic of Vietnam Cross of Gallantry with Palm, denotesLevel, armed forces level citation]
-
A.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
B.
levelNotation
Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
-
C.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
D.
representedLevel
chosen
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
E.
recognizesLevel
Indicates that one entity acknowledges, identifies, or is aware of the degree, rank, or intensity associated with 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8a27688190866bc41441e2260c |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.