Triple
T34869238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Douglas family forces |
E1005701
|
entity |
| Predicate | opposedByPolicyOf |
P73168
|
FINISHED |
| Object | centralizing Scottish crown |
—
|
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: centralizing Scottish crown | Statement: [Black Douglas family forces, opposedByPolicyOf, centralizing Scottish crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedByPolicyOf Context triple: [Black Douglas family forces, opposedByPolicyOf, centralizing Scottish crown]
-
A.
opposedPolicyContext
Indicates that an entity opposed a specific policy within a particular situational, temporal, or institutional context.
-
B.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
C.
opposedBecause
Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
-
D.
opposedByGroup
chosen
Indicates that an action, proposal, or entity is met with opposition or resistance from a particular group.
-
E.
opposedPolicyOfPredecessor
Indicates that one entity actively rejected, resisted, or worked against the policies established by its predecessor.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4 p.m.