Triple
T28735276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England |
E730779
|
entity |
| Predicate | hasNationalGallery |
P2428
|
FINISHED |
| Object | National Gallery, London |
—
|
NE NERFINISHED |
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: National Gallery, London | Statement: [England, hasNationalGallery, National Gallery, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalGallery Context triple: [England, hasNationalGallery, National Gallery, London]
-
A.
hasArtGallery
chosen
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
B.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
C.
nationalMuseum
Indicates that an entity functions as a primary, officially recognized museum representing a nation at the national level.
-
D.
hasNationalLibrary
Indicates that a country or nation possesses an official national library as part of its institutions.
-
E.
hasNumberOfMuseums
Indicates the quantity of museums associated with a given 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 28, 2026, 6 a.m.