Triple
T21280889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Théâtre de la rue Feydeau |
E524517
|
entity |
| Predicate | closureTime |
P143492
|
FINISHED |
| Object | early 19th century |
—
|
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: early 19th century | Statement: [Théâtre de la rue Feydeau, closureTime, early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closureTime Context triple: [Théâtre de la rue Feydeau, closureTime, early 19th century]
-
A.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
B.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
C.
closureFrequency
Indicates how often a particular process, event, or entity is closed or brought to an end within a given period.
-
D.
closingLocation
Indicates the place or venue where an event, process, or activity comes to an end or is formally concluded.
-
E.
closureYear
Indicates the year in which an entity (such as an organization, facility, or service) ceased operations or was officially closed.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4:02 p.m.