Triple
T9692618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ancient Chinese Bronze Art |
E234569
|
entity |
| Predicate | languageOfExhibitionTexts |
P3681
|
FINISHED |
| Object | unspecified |
—
|
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: unspecified | Statement: [The Ancient Chinese Bronze Art, languageOfExhibitionTexts, unspecified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfExhibitionTexts Context triple: [The Ancient Chinese Bronze Art, languageOfExhibitionTexts, unspecified]
-
A.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
B.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
C.
languageOfEvent
Indicates the language in which an event is conducted, presented, or communicated.
-
D.
languageOfOfficialGuides
Indicates the language in which official guides or instructional materials are provided or published.
-
E.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.