Triple
T10423367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sovereign of the Order of St Michael and St George |
E245720
|
entity |
| Predicate | rankWithinHonoursSystem |
P337
|
FINISHED |
| Object | high order of chivalry |
—
|
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: high order of chivalry | Statement: [Sovereign of the Order of St Michael and St George, rankWithinHonoursSystem, high order of chivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankWithinHonoursSystem Context triple: [Sovereign of the Order of St Michael and St George, rankWithinHonoursSystem, high order of chivalry]
-
A.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
B.
nobleRankInHierarchy
Indicates the relative position or level of a noble title within a structured hierarchy of ranks.
-
C.
honorLevel
chosen
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
D.
rankInLegionOfHonour
Indicates the specific level or grade a person holds within the hierarchy of the Legion of Honour distinction.
-
E.
rankWithinOrganization
Indicates the relative hierarchical position or level an entity holds within a specific organization.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2de4d48190aee65b3f6ec3cc48 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:12 p.m.