Triple
T4339453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pre-1969 Irish Republican Army |
E97542
|
entity |
| Predicate | internalDebateOver |
P49860
|
FINISHED |
| Object | Marxist and left-wing politics |
—
|
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: Marxist and left-wing politics | Statement: [pre-1969 Irish Republican Army, internalDebateOver, Marxist and left-wing politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internalDebateOver Context triple: [pre-1969 Irish Republican Army, internalDebateOver, Marxist and left-wing politics]
-
A.
partOfDebate
chosen
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
B.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
C.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
D.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
-
E.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516f92588190bdf004d8020c1203 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.