Triple
T32231942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taraklı historic town |
E823363
|
entity |
| Predicate | visitorAppeal |
P174874
|
FINISHED |
| Object | quiet atmosphere |
—
|
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: quiet atmosphere | Statement: [Taraklı historic town, visitorAppeal, quiet atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorAppeal Context triple: [Taraklı historic town, visitorAppeal, quiet atmosphere]
-
A.
visitorService
Indicates a relationship where a service is provided specifically for or to visitors, such as assistance, information, or support during their visit.
-
B.
visitorCustom
Indicates that one entity is a visitor in a customized or non-standard capacity to another entity, often with special conditions, attributes, or behaviors defined for that visit.
-
C.
visitorPractice
Indicates that a visitor engages in or performs a particular practice, activity, or routine.
-
D.
visitorUse
Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
-
E.
visitorIs
Indicates that one entity is acting in the role or capacity of a visitor with respect to another entity.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 12:39 a.m.