Triple
T1264396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles II of England |
E12567
|
entity |
| Predicate | politicalConflict |
P24891
|
FINISHED |
| Object | tensions between Crown and Parliament |
—
|
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: tensions between Crown and Parliament | Statement: [Charles II of England, politicalConflict, tensions between Crown and Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalConflict Context triple: [Charles II of England, politicalConflict, tensions between Crown and Parliament]
-
A.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
B.
religiousConflictBetween
Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
-
C.
conflictBelligerent
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
-
D.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
E.
depictsConflict
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c03573a48190b5851f0a734c2d6f |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bb7058e88190825b0cba5ee60b51 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc218cb8819090bff71ac7107a03 |
completed | March 1, 2026, 10:22 p.m. |
Created at: March 1, 2026, 7:50 p.m.