Triple
T6612156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shipton Bellinger |
E149260
|
entity |
| Predicate | isInCountryParishCluster |
P72471
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shipton Bellinger, isInCountryParishCluster, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCountryParishCluster Context triple: [Shipton Bellinger, isInCountryParishCluster, true]
-
A.
isCentralLocalityOf
Indicates that a locality serves as the main or central place within a larger administrative or geographic area.
-
B.
isInMunicipality
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
C.
hasNeighbouringParish
Indicates that one parish is directly adjacent to or borders another parish geographically.
-
D.
hasParishCommunity
Indicates that an entity is associated with, served by, or belongs to a specific parish community.
-
E.
hasCivilParishStatus
Indicates that an entity holds the official administrative status or designation of a civil parish.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.