Triple
T860376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasnaya Polyana |
E18585
|
entity |
| Predicate | hasMuseumExhibitsAbout |
P16135
|
FINISHED |
| Object | life of Leo Tolstoy |
—
|
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: life of Leo Tolstoy | Statement: [Yasnaya Polyana, hasMuseumExhibitsAbout, life of Leo Tolstoy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumExhibitsAbout Context triple: [Yasnaya Polyana, hasMuseumExhibitsAbout, life of Leo Tolstoy]
-
A.
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.
-
B.
hasOnsiteMuseumOrExhibits
chosen
Indicates that a place includes an on-site museum or exhibit area available for visitors.
-
C.
hasInteractiveExhibits
Indicates that something contains exhibits designed for active participation or engagement by the audience.
-
D.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
E.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac52536c8190ab198232e9ec4bd6 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.