Triple
T33428835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Oregon, Illinois |
E856065
|
entity |
| Predicate | hasArtRelatedAttraction |
P49407
|
FINISHED |
| Object | Black Hawk Statue |
—
|
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: Black Hawk Statue | Statement: [City of Oregon, Illinois, hasArtRelatedAttraction, Black Hawk Statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtRelatedAttraction Context triple: [City of Oregon, Illinois, hasArtRelatedAttraction, Black Hawk Statue]
-
A.
hasArtFacilities
Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
-
B.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
C.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
D.
hasCulturalAttractions
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
-
E.
hasArtOrMemorial
chosen
Indicates that one entity possesses, contains, or is associated with a work of art or a memorial related to another entity.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:36 a.m.