Triple
T12501455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kota Kinabalu City Mosque |
E298832
|
entity |
| Predicate | hasTouristAccessRules |
P53204
|
FINISHED |
| Object | modest dress code required |
—
|
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: modest dress code required | Statement: [Kota Kinabalu City Mosque, hasTouristAccessRules, modest dress code required]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristAccessRules Context triple: [Kota Kinabalu City Mosque, hasTouristAccessRules, modest dress code required]
-
A.
hasTourismRestriction
chosen
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
B.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
C.
hasTouristProfile
Indicates that an entity possesses characteristics, data, or attributes defining it as a tourist or related to tourism behavior.
-
D.
hasTourismAuthority
Indicates that an entity holds official responsibility or power to manage, regulate, or oversee tourism-related activities for another entity or area.
-
E.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.