Triple
T28749466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KA Theatre |
E731477
|
entity |
| Predicate | entertainmentDistrict |
P155527
|
FINISHED |
| Object | Las Vegas Strip |
—
|
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: Las Vegas Strip | Statement: [KA Theatre, entertainmentDistrict, Las Vegas Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentDistrict Context triple: [KA Theatre, entertainmentDistrict, Las Vegas Strip]
-
A.
isEntertainmentDistrict
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
-
B.
theaterDistrict
Indicates that a location is situated within or associated with a designated theater district.
-
C.
hasNearbyEntertainmentDistrict
chosen
Indicates that one location is situated close enough to another area known for entertainment venues (such as bars, theaters, or nightlife) to be considered nearby.
-
D.
culturalDistrict
Indicates that a location is officially recognized or functions as a designated cultural district, typically characterized by a concentration of cultural, artistic, or heritage-related activities.
-
E.
theatreCity
Indicates that a theatre is located in, or primarily associated with, a particular city.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:06 a.m.