Triple
T19573787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Maine (titular) |
E489793
|
entity |
| Predicate | impliesFeudalControl |
P48704
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Countess of Maine (titular), impliesFeudalControl, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesFeudalControl Context triple: [Countess of Maine (titular), impliesFeudalControl, no]
-
A.
associatedWithFeudalSystem
Indicates a relationship in which something is connected, linked, or relevant to the structures, practices, or institutions of a feudal system.
-
B.
feudalBasis
Indicates that one entity is related to another through a feudal relationship, such as obligations, rights, or structures characteristic of a feudal system.
-
C.
isFeudal
Indicates that one entity holds a feudal relationship to another, typically involving hierarchical obligations such as land tenure, service, or allegiance.
-
D.
feudalJurisdictionOver
chosen
Indicates that one entity holds legal and administrative authority or control over another entity within a feudal system.
-
E.
feudalType
Indicates the specific kind or category of feudal relationship, structure, or tenure that applies between the related entities.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402333dc8190bdffb1da68e2c76b |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.