Triple
T19908653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphranor |
E478484
|
entity |
| Predicate | settingOfDebate |
P137782
|
FINISHED |
| Object | English countryside |
—
|
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: English countryside | Statement: [Euphranor, settingOfDebate, English countryside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfDebate Context triple: [Euphranor, settingOfDebate, English countryside]
-
A.
debateOrganizer
Indicates that one entity is responsible for organizing, coordinating, or managing a debate involving another entity or entities.
-
B.
goalInDebate
Indicates that one party has a specific objective or desired outcome they are trying to achieve within the context of a debate or argumentative exchange.
-
C.
mainDebateTopic
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
D.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
E.
debateTopic
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598d91ac8190be6abdd7d1542aec |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.