Triple
T24317419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corporation Street, Manchester |
E612858
|
entity |
| Predicate | hasNearbyEntertainmentDistrict |
P155527
|
FINISHED |
| Object | Printworks, Manchester |
—
|
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: Printworks, Manchester | Statement: [Corporation Street, Manchester, hasNearbyEntertainmentDistrict, Printworks, Manchester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyEntertainmentDistrict Context triple: [Corporation Street, Manchester, hasNearbyEntertainmentDistrict, Printworks, Manchester]
-
A.
hasNearbyCulturalDistrict
Indicates that an entity is located close to a designated cultural district or area with concentrated cultural activities.
-
B.
isEntertainmentDistrict
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
-
C.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
D.
hasEntertainmentVenue
Indicates that an entity possesses, contains, or is associated with an entertainment venue as part of its facilities or offerings.
-
E.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
- F. None of above. chosen
Provenance (4 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a834148190ab084c11cb3e59fe |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:47 a.m.