Triple
T2268383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison County, Kentucky |
E50600
|
entity |
| Predicate | hasSignificantHeritage |
P10915
|
FINISHED |
| Object | Civil War history |
—
|
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: Civil War history | Statement: [Madison County, Kentucky, hasSignificantHeritage, Civil War history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantHeritage Context triple: [Madison County, Kentucky, hasSignificantHeritage, Civil War history]
-
A.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
B.
heritageValue
chosen
Indicates that something possesses cultural, historical, or traditional significance that is valued and preserved as heritage.
-
C.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
D.
hasCulturalSignificance
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
E.
hasArchitecturalSignificance
Indicates that something possesses notable architectural qualities, importance, or influence that make it worthy of special attention or recognition.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.