Triple
T6729617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong District, Daegu |
E153600
|
entity |
| Predicate | hasCulturalFacilities |
P48416
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dong District, Daegu, hasCulturalFacilities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalFacilities Context triple: [Dong District, Daegu, hasCulturalFacilities, true]
-
A.
hasCulturalFacilityType
Indicates that an entity has or is associated with a specific type of cultural facility (such as a museum, theater, or gallery).
-
B.
hasCulturalAttractions
chosen
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
-
C.
hasCulturalCenterFunction
Indicates that something serves the role or performs the activities of a cultural center, such as hosting cultural events, programs, or services.
-
D.
hasCulturalCentre
Indicates that one entity possesses, hosts, or contains a cultural centre associated with it.
-
E.
hasCulturalOrganization
Indicates that an entity possesses, is associated with, or hosts a cultural organization (such as a museum, arts group, or cultural institution).
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:09 p.m.