Triple
T32280975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salwa Palace |
E824687
|
entity |
| Predicate | tourismProject |
P174987
|
FINISHED |
| Object | Diriyah Gate development |
—
|
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: Diriyah Gate development | Statement: [Salwa Palace, tourismProject, Diriyah Gate development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismProject Context triple: [Salwa Palace, tourismProject, Diriyah Gate development]
-
A.
tourismService
Indicates a relationship where an entity provides or is associated with services intended for tourists, such as travel, accommodation, or guided activities.
-
B.
tourismModel
Indicates the conceptual framework or approach that defines how tourism activities, services, and interactions are structured and operate within a given context.
-
C.
touristAgency
Indicates that an entity is a travel or tourist agency that organizes or provides tourism-related services for another entity.
-
D.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
E.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 12:43 a.m.