Triple
T5755498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liuzhou Industrial Museum |
E126955
|
entity |
| Predicate | hasTypeOfExhibits |
P54449
|
FINISHED |
| Object | historical artifacts |
—
|
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: historical artifacts | Statement: [Liuzhou Industrial Museum, hasTypeOfExhibits, historical artifacts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfExhibits Context triple: [Liuzhou Industrial Museum, hasTypeOfExhibits, historical artifacts]
-
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.
hasExhibitCategory
chosen
Indicates that an exhibit is associated with a particular category or type of exhibit.
-
C.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
D.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
-
E.
hasExhibitionVenueType
Indicates the type or category of venue where an exhibition is held or presented.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.