Triple
T35520844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Major Peirson, 6 January 1781 |
E1026545
|
entity |
| Predicate | depicts place |
P128467
|
FINISHED |
| Object | St Helier, Jersey |
—
|
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: St Helier, Jersey | Statement: [The Death of Major Peirson, 6 January 1781, depicts place, St Helier, Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depicts place Context triple: [The Death of Major Peirson, 6 January 1781, depicts place, St Helier, Jersey]
-
A.
portraysPlace
chosen
Indicates that one entity visually or narratively represents or depicts a particular place.
-
B.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
C.
depictsFictionalPlace
Indicates that one entity visually represents or portrays a place that exists only in fiction rather than in the real world.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
state of location depicted
Indicates that the predicate specifies the condition or status of a particular place as shown or represented in some medium (e.g., an image, map, or description).
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:04 p.m.