Triple
T35103900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Regiment of Wales |
E1013093
|
entity |
| Predicate | decorationsInherited |
P77593
|
FINISHED |
| Object | Victoria Crosses of antecedent regiments |
—
|
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: Victoria Crosses of antecedent regiments | Statement: [Royal Regiment of Wales, decorationsInherited, Victoria Crosses of antecedent regiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorationsInherited Context triple: [Royal Regiment of Wales, decorationsInherited, Victoria Crosses of antecedent regiments]
-
A.
decorationsReceived
chosen
Indicates that an entity has been awarded or has obtained one or more decorations, honors, or ceremonial adornments from another entity or source.
-
B.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
decorationsReceivedFrom
Indicates that one entity has received decorations (such as awards, honors, or ornaments) from another entity.
-
D.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
E.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.