Triple
T34060028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tournament of Kings |
E873468
|
entity |
| Predicate | associatedWithHotelTheme |
P37147
|
FINISHED |
| Object | Excalibur’s medieval/Arthurian theme |
—
|
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: Excalibur’s medieval/Arthurian theme | Statement: [Tournament of Kings, associatedWithHotelTheme, Excalibur’s medieval/Arthurian theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHotelTheme Context triple: [Tournament of Kings, associatedWithHotelTheme, Excalibur’s medieval/Arthurian theme]
-
A.
typicalThemeAssociation
Indicates a common or characteristic thematic connection that typically links one entity with another.
-
B.
associatedHotel
Indicates that there is a relationship linking an entity to a specific hotel with which it is connected or affiliated.
-
C.
guestExperienceTheme
Indicates the overarching type or category of experience that characterizes a guest’s interaction or stay.
-
D.
hasAttractionTheme
chosen
Indicates that something (such as a place, event, or attraction) is characterized by or associated with a particular theme or motif.
-
E.
hasHotelType
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:52 a.m.