Triple
T14332149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heritage Museum |
E355374
|
entity |
| Predicate | hasExhibitionStyle |
P27951
|
FINISHED |
| Object | period room reconstructions |
—
|
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: period room reconstructions | Statement: [Heritage Museum, hasExhibitionStyle, period room reconstructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionStyle Context triple: [Heritage Museum, hasExhibitionStyle, period room reconstructions]
-
A.
exhibitStyle
chosen
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
-
B.
hasExhibitionModel
Indicates that one entity serves as the exhibition or display model associated with another entity.
-
C.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
D.
hasExhibitionScope
Indicates the thematic, geographic, temporal, or conceptual range and boundaries that define what an exhibition covers.
-
E.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1fb87c81908412c2953243c8e3 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.