Triple
T57521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander of the Order of Arts and Letters of France |
E1137
|
entity |
| Predicate | relativePositionInOrder |
P1803
|
FINISHED |
| Object | third grade |
—
|
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: third grade | Statement: [Commander of the Order of Arts and Letters of France, relativePositionInOrder, third grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionInOrder Context triple: [Commander of the Order of Arts and Letters of France, relativePositionInOrder, third grade]
-
A.
branchPosition
Indicates the relative location or placement of something along a branch.
-
B.
predecessorLocatedAt
Indicates that the location specified was the place where the immediately preceding version, state, or instance of an entity was situated.
-
C.
orderPrecedence
chosen
Indicates that one entity must come before another in a defined sequence or priority order.
-
D.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
E.
notableRelative
Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.