Triple
T15112986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chekhov House Museum |
E360959
|
entity |
| Predicate | genreOfExhibits |
P115641
|
FINISHED |
| Object | literary history |
—
|
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: literary history | Statement: [Chekhov House Museum, genreOfExhibits, literary history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfExhibits Context triple: [Chekhov House Museum, genreOfExhibits, literary history]
-
A.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
B.
exhibitionDiscipline
Indicates the academic or artistic field that characterizes or organizes an exhibition.
-
C.
fieldOfExhibition
chosen
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
-
D.
exhibitionMedium
Indicates the material or format through which something is exhibited or displayed.
-
E.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058d786c8190937c6819255c01bd |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.