Triple
T26106220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquesses of Exeter |
E658542
|
entity |
| Predicate | hasTraditionalInfluenceArea |
P79532
|
FINISHED |
| Object | Lincolnshire |
—
|
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: Lincolnshire | Statement: [Marquesses of Exeter, hasTraditionalInfluenceArea, Lincolnshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalInfluenceArea Context triple: [Marquesses of Exeter, hasTraditionalInfluenceArea, Lincolnshire]
-
A.
hasTraditionalArea
chosen
Indicates that an entity is associated with or belongs to a customary or historically recognized geographic area.
-
B.
hasTraditionalTerritoryType
Indicates that an entity’s traditional territory is classified as belonging to a specific type or category of territory.
-
C.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
D.
hasHistoricalInfluenceFrom
Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
-
E.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 26, 2026, 7:58 p.m.