Triple
T17049255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bačvice Beach |
E413649
|
entity |
| Predicate | hasTargetVisitors |
P125658
|
FINISHED |
| Object | families |
—
|
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: families | Statement: [Bačvice Beach, hasTargetVisitors, families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetVisitors Context triple: [Bačvice Beach, hasTargetVisitors, families]
-
A.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
B.
hasVisitorInterest
Indicates that an entity has a particular interest, preference, or attraction toward visiting another entity or location.
-
C.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
D.
hasTarget
Indicates that one entity is directed toward, aimed at, or intended to affect another specific entity as its target.
-
E.
hasVisitorServices
Indicates that an entity provides services or facilities specifically intended for visitors or guests.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.