Triple
T33822903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Malton |
E866878
|
entity |
| Predicate | holderPoliticalInfluenceRegion |
P6148
|
FINISHED |
| Object | Yorkshire |
—
|
NE NERFINISHED |
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: Yorkshire | Statement: [Earl of Malton, holderPoliticalInfluenceRegion, Yorkshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderPoliticalInfluenceRegion Context triple: [Earl of Malton, holderPoliticalInfluenceRegion, Yorkshire]
-
A.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
B.
describesPoliticalInfluenceOf
Indicates that one entity characterizes, explains, or details the nature or extent of another entity’s political influence.
-
C.
politicalInfluenceIn
chosen
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
D.
politicalPowerInfluencedBy
Indicates that the extent or nature of an entity’s political power is shaped, affected, or determined by another entity or factor.
-
E.
politicalActivityRegion
Indicates the geographic region or area in which a political activity takes place or is focused.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 1:46 a.m.