Triple
T27663167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAA |
E697169
|
entity |
| Predicate | queryClass |
P162927
|
FINISHED |
| Object | IN |
—
|
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: IN | Statement: [CAA, queryClass, IN]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queryClass Context triple: [CAA, queryClass, IN]
-
A.
topClassOf
Indicates that one class is the most general or highest-level superclass from which another class (or set of classes) ultimately derives.
-
B.
exploresClass
Indicates that one entity actively investigates, studies, or examines a particular class or category of things.
-
C.
clase
Indicates a classification or type relationship, where one entity is categorized as belonging to a particular class or category defined by another entity.
-
D.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
-
E.
operatorClass
Indicates the classification or category of an operator in terms of its type, role, or functional group within a system or domain.
- F. None of above. chosen
Provenance (4 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a183bc8190bdb59700f8f0a16e |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f6305219f08190b55f6193a4a49984 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 27, 2026, 2:37 p.m.