Triple
T10150044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Grand Cross of the Order of the Bath |
E232608
|
entity |
| Predicate | orderDivisions |
P90657
|
FINISHED |
| Object | Military Division |
—
|
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: Military Division | Statement: [Knight Grand Cross of the Order of the Bath, orderDivisions, Military Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderDivisions Context triple: [Knight Grand Cross of the Order of the Bath, orderDivisions, Military Division]
-
A.
divisionServed
Indicates that a particular division provides services or support to, or has responsibility for, a specified entity or area.
-
B.
divisionOrStructure
Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
-
C.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
-
D.
containsDivision
chosen
Indicates that one entity includes or encompasses a subdivision or internal division of another entity.
-
E.
dividesOrganizationInto
Indicates that an entity structures or partitions an organization into distinct subunits, sections, or divisions.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:08 p.m.