Triple
T32263055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salle Richelieu |
E824210
|
entity |
| Predicate | hasMainUsePeriod |
P4017
|
FINISHED |
| Object | evening performances |
—
|
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: evening performances | Statement: [Salle Richelieu, hasMainUsePeriod, evening performances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainUsePeriod Context triple: [Salle Richelieu, hasMainUsePeriod, evening performances]
-
A.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
B.
periodOfMajorUse
chosen
Indicates the time span during which something was primarily or most intensively used.
-
C.
hasPeriodOf
Indicates that one entity possesses, experiences, or is associated with a specific span or interval of time.
-
D.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
E.
hasPeriods
Indicates that an entity experiences or is characterized by recurring menstrual cycles.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00818b20a881909fbf3bb33dcf7029 |
completed | May 10, 2026, 1 p.m. |
| PD | Predicate disambiguation | batch_6a0080f76f588190a933238861243d1a |
completed | May 10, 2026, 12:58 p.m. |
Created at: May 1, 2026, 12:41 a.m.