Triple
T8945457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slains Castle |
E213209
|
entity |
| Predicate | visitFrequency |
P27025
|
FINISHED |
| Object | regularly in the 1890s |
—
|
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: regularly in the 1890s | Statement: [Slains Castle, visitFrequency, regularly in the 1890s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitFrequency Context triple: [Slains Castle, visitFrequency, regularly in the 1890s]
-
A.
visitorFrequency
chosen
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
B.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
C.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
D.
scopeOfVisits
Indicates the range, extent, or boundaries within which visits or visiting activities occur or are applicable.
-
E.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66db998c8190999a7a686bbdda1f |
completed | April 1, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.