Triple
T12350577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Against Indiscipline |
E294472
|
entity |
| Predicate | resultingDiscourse |
P9239
|
FINISHED |
| Object | debate on human rights and authoritarian methods |
—
|
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: debate on human rights and authoritarian methods | Statement: [War Against Indiscipline, resultingDiscourse, debate on human rights and authoritarian methods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingDiscourse Context triple: [War Against Indiscipline, resultingDiscourse, debate on human rights and authoritarian methods]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
C.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
D.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
E.
discussionPublic
Indicates that a discussion is accessible to the general public rather than being restricted or private.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.