Triple
T35743526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellavista neighborhood |
E1033105
|
entity |
| Predicate | nightlifeReputation |
P60798
|
FINISHED |
| Object | one of Santiago's main nightlife hubs |
—
|
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: one of Santiago's main nightlife hubs | Statement: [Bellavista neighborhood, nightlifeReputation, one of Santiago's main nightlife hubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightlifeReputation Context triple: [Bellavista neighborhood, nightlifeReputation, one of Santiago's main nightlife hubs]
-
A.
nightlifeCharacter
chosen
Indicates a characteristic or quality associated with nightlife, such as the typical atmosphere, energy, or style of nighttime social activities.
-
B.
nightlifeDensity
Indicates how concentrated or abundant nightlife-related venues and activities are within a given area.
-
C.
nightlifeRole
Indicates the specific function or position an entity holds within nightlife activities, venues, or scenes.
-
D.
clubReputation
Indicates the perceived status, prestige, or standing of a club within its relevant community or domain.
-
E.
nightlifePattern
Indicates a recurring way entities engage in or are associated with nightlife activities, such as typical behaviors, schedules, or participation patterns during night hours.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.