Triple
T2794964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Peñas neighborhood |
E53013
|
entity |
| Predicate | nightlife |
P8175
|
FINISHED |
| Object | bars and cafes |
—
|
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: bars and cafes | Statement: [Las Peñas neighborhood, nightlife, bars and cafes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightlife Context triple: [Las Peñas neighborhood, nightlife, bars and cafes]
-
A.
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.
-
B.
hasNightlifeArea
chosen
Indicates that a place contains or is associated with an area characterized by nightlife activities such as bars, clubs, or evening entertainment venues.
-
C.
nightService
Indicates that a service operates or is available during nighttime hours.
-
D.
prominentAtNight
Indicates that an entity becomes especially noticeable, visible, or significant during nighttime conditions.
-
E.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd48bcc819083f4ec59d66f0ece |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.