Triple
T23955180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catawba Valley |
E603767
|
entity |
| Predicate | hasArtCommunity |
P60146
|
FINISHED |
| Object | regional artists and craftspeople |
—
|
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: regional artists and craftspeople | Statement: [Catawba Valley, hasArtCommunity, regional artists and craftspeople]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtCommunity Context triple: [Catawba Valley, hasArtCommunity, regional artists and craftspeople]
-
A.
hasArtScene
chosen
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
B.
hasCraftCommunity
Indicates that an entity is associated with or supports a community engaged in crafting activities.
-
C.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
D.
hasArtCooperative
Indicates that an entity participates in, is affiliated with, or is a member of an art-focused cooperative organization.
-
E.
hasCulturalCommunity
Indicates that an entity is associated with, belongs to, or is part of a specific cultural community.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.