Triple
T24796580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sursock Museum |
E620398
|
entity |
| Predicate | primaryLanguageOfExhibitions |
P91455
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Sursock Museum, primaryLanguageOfExhibitions, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfExhibitions Context triple: [Sursock Museum, primaryLanguageOfExhibitions, French]
-
A.
hasLanguageOfExhibitions
chosen
Indicates that an entity uses a specified language for its exhibitions or exhibition-related content.
-
B.
primaryLanguageOfCataloguing
Indicates the language primarily used to create or record the entries in a catalog.
-
C.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
D.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
E.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 18, 2026, 4:48 a.m.