Triple
T23955181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catawba Valley |
E603767
|
entity |
| Predicate | heritageIndustry |
P2411
|
FINISHED |
| Object | traditional pottery production |
—
|
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: traditional pottery production | Statement: [Catawba Valley, heritageIndustry, traditional pottery production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageIndustry Context triple: [Catawba Valley, heritageIndustry, traditional pottery production]
-
A.
heritageType
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
B.
hasIndustrialHeritage
chosen
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
C.
heritageManagement
Indicates the management, preservation, and regulation of cultural or natural heritage resources by responsible entities.
-
D.
designHeritage
Indicates that one entity has influenced, shaped, or contributed to the design tradition or stylistic lineage of another entity.
-
E.
heritageValue
Indicates that something possesses cultural, historical, or traditional significance that is valued and preserved as heritage.
- 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.