Triple
T96088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kt |
E1933
|
entity |
| Predicate | hasAbbreviationType |
P43
|
FINISHED |
| Object | post-nominal letters |
—
|
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: post-nominal letters | Statement: [Kt, hasAbbreviationType, post-nominal letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationType Context triple: [Kt, hasAbbreviationType, post-nominal letters]
-
A.
hasPostalAbbreviationState
Indicates that a state is associated with a specific standardized postal abbreviation.
-
B.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
C.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
D.
abbreviation
chosen
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
E.
hasSegmentType
Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a250cb400c8190b56343bbe19b48c7 |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ebd19c48190bab291fea0ecc0c2 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.