Triple
T19371130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventspils Seaside Open-Air Museum |
E484537
|
entity |
| Predicate | hasOutdoorExhibitions |
P29093
|
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: [Ventspils Seaside Open-Air Museum, hasOutdoorExhibitions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorExhibitions Context triple: [Ventspils Seaside Open-Air Museum, hasOutdoorExhibitions, true]
-
A.
hasOutdoorExhibits
chosen
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
-
B.
hasPublicExhibitions
Indicates that an entity organizes, hosts, or participates in exhibitions that are open and accessible to the general public.
-
C.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
D.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
E.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619b09ef08190a8b420316c0b8eb3 |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.