Triple
T25184653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Distinction |
E630683
|
entity |
| Predicate | postNominalForGradeOfficer |
P1600
|
FINISHED |
| Object | OD |
—
|
NE NERFINISHED |
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: OD | Statement: [Order of Distinction, postNominalForGradeOfficer, OD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postNominalForGradeOfficer Context triple: [Order of Distinction, postNominalForGradeOfficer, OD]
-
A.
postNominalCategory
Indicates a classification or type assigned to an entity that is expressed in a post-nominal position (after the name or noun).
-
B.
postNominalLetters
chosen
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
-
C.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
D.
hasPostNominal
Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
-
E.
rankHeldByPost
Indicates that a particular organizational post or position is associated with, or carries, a specific rank.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc9e8fc8190844984493b19b9b1 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:37 p.m.