Triple
T24965890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lews Castle |
E624740
|
entity |
| Predicate | hasAccommodationOperator |
P26382
|
FINISHED |
| Object | Natural Retreats (initial operator) |
—
|
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: Natural Retreats (initial operator) | Statement: [Lews Castle, hasAccommodationOperator, Natural Retreats (initial operator)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccommodationOperator Context triple: [Lews Castle, hasAccommodationOperator, Natural Retreats (initial operator)]
-
A.
hasTourOperator
Indicates that an entity is associated with or provided by a specific tour operator responsible for organizing or managing its tours.
-
B.
hotelOperator
chosen
Indicates that an entity operates, manages, or runs a hotel as its responsible service provider or business owner.
-
C.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
D.
venueOperator
Indicates that one entity operates, manages, or runs a particular venue or event location for another entity.
-
E.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 6 a.m.