Triple
T28447076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Historic Landmarks in South Carolina |
E715868
|
entity |
| Predicate | themeCoverage |
P164595
|
FINISHED |
| Object | colonial 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: colonial history | Statement: [National Historic Landmarks in South Carolina, themeCoverage, colonial history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeCoverage Context triple: [National Historic Landmarks in South Carolina, themeCoverage, colonial history]
-
A.
stageCoverage
Indicates that one entity provides or has coverage, representation, or support for another within a particular stage or phase of a process or workflow.
-
B.
themeSummary
Indicates that one entity is a concise overview or abstract capturing the main points or themes of another entity.
-
C.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
D.
coverageBasis
Indicates the underlying principle, rule, or criteria on which a particular coverage or protection is determined or applied.
-
E.
categoryCovered
chosen
Indicates that one category is included within, addressed by, or encompassed under the scope of another entity or context.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 1:49 a.m.