Triple
T37883045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number 1 London |
E944917
|
entity |
| Predicate | hasPeriodOfUseAsMuseum |
P197839
|
FINISHED |
| Object | 20th century onwards |
—
|
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: 20th century onwards | Statement: [Number 1 London, hasPeriodOfUseAsMuseum, 20th century onwards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeriodOfUseAsMuseum Context triple: [Number 1 London, hasPeriodOfUseAsMuseum, 20th century onwards]
-
A.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
B.
openedToPublicAsMuseum
Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
-
C.
openedAsMuseumIn
Indicates that a place or building began operating as a museum in a specified year or at a specified time.
-
D.
isPublicMuseum
Indicates that an institution operates as a museum that is open and accessible to the general public, typically under public or non-profit ownership or management.
-
E.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
- F. None of above. chosen
Provenance (4 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
| PDg | Predicate description generation | batch_69feafa0acd881908bb6c01635b5537a |
completed | May 9, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:19 p.m.