Triple
T38101038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Salm-Kyrburg |
E951375
|
entity |
| Predicate | hasTerritorialFragmentation |
P195721
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Principality of Salm-Kyrburg, hasTerritorialFragmentation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerritorialFragmentation Context triple: [Principality of Salm-Kyrburg, hasTerritorialFragmentation, yes]
-
A.
hasNonContiguousTerritory
chosen
Indicates that an entity’s territory consists of two or more separate, non-adjacent areas rather than one continuous region.
-
B.
hasSubnationalEntitySeparated
Indicates that a subnational entity has been separated or split off from its original parent jurisdiction.
-
C.
hasFormOfTerritorialOrganization
Indicates that one entity possesses or is structured according to a particular type or form of territorial organization.
-
D.
hasConstituentTerritory
Indicates that one geopolitical entity includes another as a territorial part or subdivision within its jurisdiction.
-
E.
hasTerritorialContinuity
Indicates that two or more geographic areas are physically connected in an unbroken, contiguous territory without gaps or separations.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
Created at: May 3, 2026, 4:21 p.m.