Triple
T1032372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodona |
E22279
|
entity |
| Predicate | typeOfQuestionsAsked |
P12351
|
FINISHED |
| Object | yes-or-no questions |
—
|
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: yes-or-no questions | Statement: [Dodona, typeOfQuestionsAsked, yes-or-no questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfQuestionsAsked Context triple: [Dodona, typeOfQuestionsAsked, yes-or-no questions]
-
A.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
B.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
-
C.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
D.
hasKeyQuestion
Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
-
E.
surveySystemType
Indicates the type or category of system used to conduct or manage a survey.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b728ad3481909cf1430349cb9bba |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.