Triple
T10915380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée du Luxembourg |
E257807
|
entity |
| Predicate | reopening |
P10067
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Musée du Luxembourg, reopening, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopening Context triple: [Musée du Luxembourg, reopening, 1994]
-
A.
reopeningAs
Indicates that an entity that was previously closed or inactive is starting operations again under a new or updated form, identity, or function.
-
B.
reopeningToPublic
Indicates that an entity, previously closed or restricted, is being opened again for access or use by the general public.
-
C.
reopeningDate
chosen
Indicates the date on which something that was previously closed is opened again for use or access.
-
D.
reopeningEvent
Indicates an event in which something that was previously closed, suspended, or inactive is opened or made operational again.
-
E.
reopenedFor
Indicates that an entity, previously closed or inactive, has been opened again to allow access, use, or operation for another entity or purpose.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.