Triple
T32582726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Leopold |
E832832
|
entity |
| Predicate | hasOrderMotto |
P29651
|
FINISHED |
| Object | L’Union fait la force |
—
|
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: L’Union fait la force | Statement: [Grand Cross of the Order of Leopold, hasOrderMotto, L’Union fait la force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderMotto Context triple: [Grand Cross of the Order of Leopold, hasOrderMotto, L’Union fait la force]
-
A.
usesMotto
chosen
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
B.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
C.
mottoIncluded
Indicates that a motto is present as part of, or associated with, the referenced entity.
-
D.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
-
E.
orderMottoInEnglish
Indicates that an entity’s motto is expressed or recorded in the English language.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 1, 2026, 1:04 a.m.