Triple
T21721910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Night a DJ Saved My Life |
E536178
|
entity |
| Predicate | typicalVenueOfPopularity |
P25526
|
FINISHED |
| Object | nightclubs |
—
|
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: nightclubs | Statement: [Last Night a DJ Saved My Life, typicalVenueOfPopularity, nightclubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVenueOfPopularity Context triple: [Last Night a DJ Saved My Life, typicalVenueOfPopularity, nightclubs]
-
A.
typicalVenues
chosen
Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
-
B.
typicalVenueSetting
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
-
C.
formerTypicalVenue
Indicates that a location was once the usual or primary venue for an entity’s activities or events, but no longer serves in that typical role.
-
D.
typicalVenueMetroArea
Indicates the metropolitan area where an entity is most commonly or characteristically located or hosted.
-
E.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.