Triple
T2931799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shelling of the Four Courts in Dublin |
E78970
|
entity |
| Predicate | belligerentIdeologySide1 |
P9003
|
FINISHED |
| Object | pro-Treaty nationalism |
—
|
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: pro-Treaty nationalism | Statement: [shelling of the Four Courts in Dublin, belligerentIdeologySide1, pro-Treaty nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belligerentIdeologySide1 Context triple: [shelling of the Four Courts in Dublin, belligerentIdeologySide1, pro-Treaty nationalism]
-
A.
conflictSide
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
B.
ideologyOfInsurgents
chosen
Indicates the guiding beliefs, values, or political doctrine held by insurgent groups that shape their goals and actions.
-
C.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
D.
belligerentInterest
Indicates that an entity has a hostile, aggressive, or conflict-seeking attitude or stake toward another entity or situation.
-
E.
conflictBelligerent
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980368e48190a50b59917af4786a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.