Triple
T12095449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blencathra |
E288058
|
entity |
| Predicate | hasCountyTopStatus |
P103474
|
FINISHED |
| Object | historic county of Cumberland |
—
|
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: historic county of Cumberland | Statement: [Blencathra, hasCountyTopStatus, historic county of Cumberland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountyTopStatus Context triple: [Blencathra, hasCountyTopStatus, historic county of Cumberland]
-
A.
hasCountyEquivalentStatus
Indicates that an entity holds an administrative or legal status equivalent to that of a county within a given jurisdiction.
-
B.
hasCountyRights
Indicates that an entity possesses the legal or administrative rights, privileges, or status associated with a county-level jurisdiction.
-
C.
hasTraditionalCountyStatus
Indicates that an entity holds the official or customary status of being recognized as a traditional county within a given jurisdiction.
-
D.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
E.
hasCountyLevelCity
Indicates that an entity (typically a region or province) includes or administers one or more cities that hold county-level administrative status.
- F. None of above. chosen
Provenance (4 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9178814e081908f67e3846718530e |
completed | April 10, 2026, 3:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.