Triple
T32622365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trescowe |
E833961
|
entity |
| Predicate | hasCivilParishType |
P13874
|
FINISHED |
| Object | rural |
—
|
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: rural | Statement: [Trescowe, hasCivilParishType, rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivilParishType Context triple: [Trescowe, hasCivilParishType, rural]
-
A.
hasCivilParishComponent
Indicates that an entity includes or is composed of the specified civil parish as one of its administrative components.
-
B.
hasCivilParishStatus
Indicates that an entity holds the official administrative status or designation of a civil parish.
-
C.
hasParishType
chosen
Indicates that an entity is associated with or classified by a specific type or category of parish.
-
D.
onlyCivilParishOf
Indicates that one entity is the sole civil parish associated with, or contained within, the other entity, with no other civil parishes sharing that association.
-
E.
hasCivilParishName
Indicates that an entity has a specific civil parish name as its designated official name at the civil parish level.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:06 a.m.