Triple
T5035340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Gold Souk |
E113405
|
entity |
| Predicate | peakVisitorGroup |
P34539
|
FINISHED |
| Object | international tourists |
—
|
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: international tourists | Statement: [Dubai Gold Souk, peakVisitorGroup, international tourists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakVisitorGroup Context triple: [Dubai Gold Souk, peakVisitorGroup, international tourists]
-
A.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
B.
primaryVisitors
chosen
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
C.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
D.
visitorStatus
Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
-
E.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b9ad488190a2a8c4da8858eb91 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.