Triple
T28404969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Palazzo |
E719501
|
entity |
| Predicate | hasNightlifeVenue |
P23473
|
FINISHED |
| Object | LAVO Nightclub |
—
|
NE NERFINISHED |
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: LAVO Nightclub | Statement: [The Palazzo, hasNightlifeVenue, LAVO Nightclub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightlifeVenue Context triple: [The Palazzo, hasNightlifeVenue, LAVO Nightclub]
-
A.
hasNightlifeArea
Indicates that a place contains or is associated with an area characterized by nightlife activities such as bars, clubs, or evening entertainment venues.
-
B.
hasEntertainmentVenue
chosen
Indicates that an entity possesses, contains, or is associated with an entertainment venue as part of its facilities or offerings.
-
C.
offersNightlife
Indicates that a place provides opportunities for nighttime entertainment, such as bars, clubs, or evening events.
-
D.
nightlifeRole
Indicates the specific function or position an entity holds within nightlife activities, venues, or scenes.
-
E.
nightlifeCharacter
Indicates a characteristic or quality associated with nightlife, such as the typical atmosphere, energy, or style of nighttime social activities.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64d6ef83881909b6015503c9e6470 |
completed | May 2, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:22 a.m.