Triple
T28729752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Smith, British Consul at Venice |
E730623
|
entity |
| Predicate | collection destination |
P98148
|
FINISHED |
| Object | Royal Collection |
—
|
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: Royal Collection | Statement: [Joseph Smith, British Consul at Venice, collection destination, Royal Collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collection destination Context triple: [Joseph Smith, British Consul at Venice, collection destination, Royal Collection]
-
A.
collectionPoint
chosen
Indicates a location or entity designated as the place where items are gathered, received, or collected.
-
B.
dedicatedCollectionTo
Indicates that a collection of items or works is formally assigned or devoted to a particular entity, purpose, or recipient.
-
C.
collectionBy
Indicates that one entity is the collector or curator responsible for assembling, managing, or owning a particular collection of items represented by another entity.
-
D.
collectsFrom
Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
-
E.
collectionFormed
Indicates that multiple items or entities have been gathered and organized together into a defined collection.
- 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_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 28, 2026, 5:57 a.m.