Triple
T17104783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Peoples Gallery |
E415068
|
entity |
| Predicate | languageOfExhibitText |
P3681
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [First Peoples Gallery, languageOfExhibitText, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfExhibitText Context triple: [First Peoples Gallery, languageOfExhibitText, English]
-
A.
hasLanguageOfExhibitions
Indicates that an entity uses a specified language for its exhibitions or exhibition-related content.
-
B.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
C.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
D.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
E.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2683fc81908af2df9012addecb |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.