Triple
T24918565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VSM |
E624056
|
entity |
| Predicate | isPostNominalDecoration |
P1473
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [VSM, isPostNominalDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPostNominalDecoration Context triple: [VSM, isPostNominalDecoration, true]
-
A.
usesPostNominalsIn
Indicates that an entity customarily appends specific post-nominal letters to its name within a given context or jurisdiction.
-
B.
hasPostnominalLetters
Indicates that a person holds specific postnominal letters (abbreviations after their name) signifying qualifications, honors, or titles.
-
C.
wearerMayUsePostNominals
Indicates that the wearer is permitted to use specific post-nominal letters (titles or abbreviations placed after their name) associated with something they wear.
-
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.
isNonMilitaryDecoration
chosen
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:28 a.m.