Triple
T10488008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Dining Room (Royal Yacht Britannia) |
E247339
|
entity |
| Predicate | tourInformation |
P94571
|
FINISHED |
| Object | often shown as highlight of Britannia tour |
—
|
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: often shown as highlight of Britannia tour | Statement: [State Dining Room (Royal Yacht Britannia), tourInformation, often shown as highlight of Britannia tour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourInformation Context triple: [State Dining Room (Royal Yacht Britannia), tourInformation, often shown as highlight of Britannia tour]
-
A.
tourDocumented
Indicates that a tour has been recorded or documented, typically capturing its details, events, or progression.
-
B.
tourStopOf
Indicates that one entity is a stop or scheduled visit location within the itinerary or route of another entity’s tour.
-
C.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
D.
tourArea
Indicates that an entity conducts, offers, or is associated with tours within a specified geographic area or region.
-
E.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096b609c81909e23fd8fb6426f4a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d5092af880819082b42c0a68e45c5f |
completed | April 7, 2026, 1:39 p.m. |
Created at: April 6, 2026, 12:23 p.m.