Triple
T6602642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leintwardine |
E149036
|
entity |
| Predicate | isParishCentreFor |
P42007
|
FINISHED |
| Object | surrounding rural area |
—
|
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: surrounding rural area | Statement: [Leintwardine, isParishCentreFor, surrounding rural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isParishCentreFor Context triple: [Leintwardine, isParishCentreFor, surrounding rural area]
-
A.
isParishSeatOf
chosen
Indicates that a location serves as the administrative center or main seat of government for a particular parish.
-
B.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
C.
hasParishCommunity
Indicates that an entity is associated with, served by, or belongs to a specific parish community.
-
D.
hasParishHouse
Indicates that a church or parish entity possesses or is associated with a specific parish house building.
-
E.
hasCommunityCentre
Indicates that a place or area possesses or is served by a community centre facility.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.