Triple
T15820641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Civil War Museum |
E383596
|
entity |
| Predicate | interpretationApproach |
P33381
|
FINISHED |
| Object | Union and Confederate perspectives |
—
|
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: Union and Confederate perspectives | Statement: [National Civil War Museum, interpretationApproach, Union and Confederate perspectives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationApproach Context triple: [National Civil War Museum, interpretationApproach, Union and Confederate perspectives]
-
A.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
B.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
C.
readingApproach
Indicates the method, strategy, or manner in which an entity engages in reading a text.
-
D.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
E.
containsInterpretationOf
chosen
Indicates that one entity includes or embodies an interpretation or understanding of 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a7ba4881908a2747bf063d79f1 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.