Triple
T16941035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black and Tan War |
E410948
|
entity |
| Predicate | opposingObjective |
P16720
|
FINISHED |
| Object | maintenance of British rule in Ireland |
—
|
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: maintenance of British rule in Ireland | Statement: [Black and Tan War, opposingObjective, maintenance of British rule in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposingObjective Context triple: [Black and Tan War, opposingObjective, maintenance of British rule in Ireland]
-
A.
opponentObjective
chosen
Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
-
B.
opposedFocus
Indicates that one entity’s focus, attention, or emphasis is directed in opposition to, or in contrast with, the focus of another entity.
-
C.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
E.
actorObjective
Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfacdbc48190988ac259712bb9e8 |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.