Triple
T23613979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love My Country |
E583124
|
entity |
| Predicate | questionFocus |
P71095
|
FINISHED |
| Object | knowledge about contestants' home country |
—
|
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: knowledge about contestants' home country | Statement: [I Love My Country, questionFocus, knowledge about contestants' home country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionFocus Context triple: [I Love My Country, questionFocus, knowledge about contestants' home country]
-
A.
questionTopic
chosen
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
-
B.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
C.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
D.
focusIssue
Indicates that an issue, topic, or problem is the primary subject of attention or concern in a given context.
-
E.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f64c808190bf1cb1e4c916be17 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.