Triple
T417394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Manchester Institution |
E8023
|
entity |
| Predicate | collectionBecame |
P1925
|
FINISHED |
| Object | core collection of Manchester Art Gallery |
—
|
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: core collection of Manchester Art Gallery | Statement: [Royal Manchester Institution, collectionBecame, core collection of Manchester Art Gallery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionBecame Context triple: [Royal Manchester Institution, collectionBecame, core collection of Manchester Art Gallery]
-
A.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
B.
collectionSize
Indicates the total number of items contained within a specified collection.
-
C.
collectsFrom
Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
-
D.
collectedThrough
Indicates that something was obtained, gathered, or acquired by means of a specified process, method, or channel.
-
E.
partOfCollection
chosen
Indicates that an entity belongs to, or is included within, a larger collection or set.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd1ca148190a66bd8c5aad867d5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.