Triple
T33124959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy Day in the Committee Room |
E847695
|
entity |
| Predicate | collectionPublicationCity |
P93099
|
FINISHED |
| Object | 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: London | Statement: [Ivy Day in the Committee Room, collectionPublicationCity, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionPublicationCity Context triple: [Ivy Day in the Committee Room, collectionPublicationCity, London]
-
A.
hasPublicationPlace
Indicates the place or location where a publication was produced, issued, or made publicly available.
-
B.
collectionPublication
Indicates that a collection has been formally published or made publicly available, typically through some publishing process or platform.
-
C.
publisherLocation
Indicates the place or geographic location where a work is published or where its publisher is based.
-
D.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
E.
printedInCity
chosen
Indicates that something (such as a document, book, or item) was printed in a particular city.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:27 a.m.