Triple
T7345848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Review of Books |
E169376
|
entity |
| Predicate | hasPhysicalBookshop |
P23299
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [London Review of Books, hasPhysicalBookshop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalBookshop Context triple: [London Review of Books, hasPhysicalBookshop, yes]
-
A.
hasOnlineShop
Indicates that an entity operates or is associated with a shop that sells goods or services via the internet.
-
B.
hasShop
chosen
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
C.
operatedBookstore
Indicates that one entity managed and ran the day-to-day operations of a bookstore owned or controlled by another entity.
-
D.
usedAsBookstoreTo
Indicates that one entity functions or is utilized as a bookstore for another entity.
-
E.
hasShopsOn
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.