Triple
T19414192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Fahidi Metro Station |
E485664
|
entity |
| Predicate | isTouristFriendly |
P7835
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Al Fahidi Metro Station, isTouristFriendly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTouristFriendly Context triple: [Al Fahidi Metro Station, isTouristFriendly, true]
-
A.
isPartOfTouristArea
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
-
B.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
C.
hasTouristInfrastructure
chosen
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
D.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
E.
hasTouristProfile
Indicates that an entity possesses characteristics, data, or attributes defining it as a tourist or related to tourism behavior.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af834fc81908cb176076de10c1c |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.