Triple
T35189480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glanford Brigg Rural District |
E1016080
|
entity |
| Predicate | administeredAreaCharacter |
P30854
|
FINISHED |
| Object | largely agricultural 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: largely agricultural area | Statement: [Glanford Brigg Rural District, administeredAreaCharacter, largely agricultural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administeredAreaCharacter Context triple: [Glanford Brigg Rural District, administeredAreaCharacter, largely agricultural area]
-
A.
regionCharacter
chosen
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
-
B.
zoningCharacter
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
-
C.
coreAreaCharacteristic
Indicates that a characteristic or feature is specifically associated with the core area of something, rather than its peripheral or secondary parts.
-
D.
hasAreaName
Indicates that an entity is associated with a specific named geographic or administrative area.
-
E.
denotesAdministrativeArea
Indicates that one entity designates or specifies another entity as its relevant administrative area or jurisdiction.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 3, 2026, 4:02 p.m.