Triple
T26350469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Neuberger of Abbotsbury |
E662886
|
entity |
| Predicate | areaOfTitle |
P161282
|
FINISHED |
| Object | Abbotsbury in the County of Dorset |
—
|
NE NERFINISHED |
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: Abbotsbury in the County of Dorset | Statement: [Baron Neuberger of Abbotsbury, areaOfTitle, Abbotsbury in the County of Dorset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfTitle Context triple: [Baron Neuberger of Abbotsbury, areaOfTitle, Abbotsbury in the County of Dorset]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
nativeTitleDeterminationAreaIncludes
Indicates that a specified native title determination area geographically encompasses or includes another area.
-
C.
nativeTitleArea
Indicates that an entity’s title is expressed in the primary or original language associated with a specified geographic or cultural area.
-
D.
nativeTitleDeterminationArea
Indicates the geographic area within which a native title claim or determination is legally recognized or assessed.
-
E.
styleOfTitle
Indicates the stylistic form or presentation type applied to a title (e.g., how the title is formatted or expressed).
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 10:44 p.m.