Triple
T28593914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese Wikipedia |
E723724
|
entity |
| Predicate | mainTopicClass |
P82617
|
FINISHED |
| Object | encyclopedia |
—
|
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: encyclopedia | Statement: [Vietnamese Wikipedia, mainTopicClass, encyclopedia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTopicClass Context triple: [Vietnamese Wikipedia, mainTopicClass, encyclopedia]
-
A.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
B.
mainClasses
Indicates that the subject represents the primary or most important classes associated with, defined within, or central to the object.
-
C.
primaryClass
Indicates that one entity is the main or principal classification category to which another entity belongs.
-
D.
mainContentType
chosen
Indicates the primary type or category of content associated with an entity or resource.
-
E.
principleTopic
Indicates that one entity serves as the main or primary subject, theme, or focus of another entity.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 4:21 a.m.