Triple
T22815405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redones |
E565082
|
entity |
| Predicate | territoryCharacter |
P30854
|
FINISHED |
| Object | western Armorican interior |
—
|
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: western Armorican interior | Statement: [Redones, territoryCharacter, western Armorican interior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territoryCharacter Context triple: [Redones, territoryCharacter, western Armorican interior]
-
A.
regionCharacter
chosen
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
-
B.
governedTerritoryCharacteristic
Indicates that a governing entity is associated with a specific characteristic or attribute of the territory it governs.
-
C.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
-
D.
territoryCorrespondedTo
Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
-
E.
territoryRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific territory or geographic area for 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcb872881909a031d8560635fce |
completed | April 29, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.