Triple
T35677860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imatra spillway |
E1030913
|
entity |
| Predicate | hasTouristShow |
P193439
|
FINISHED |
| Object | scheduled spillway openings |
—
|
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: scheduled spillway openings | Statement: [Imatra spillway, hasTouristShow, scheduled spillway openings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristShow Context triple: [Imatra spillway, hasTouristShow, scheduled spillway openings]
-
A.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
B.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
C.
hasTouristGuidedTours
Indicates that an entity offers or provides guided tours specifically designed for tourists.
-
D.
hasTourElement
Indicates that something includes or is associated with a specific element or component of a tour.
-
E.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: May 3, 2026, 4:05 p.m.