Triple
T2783259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three-Fifths Compromise |
E61746
|
entity |
| Predicate | establishedRatio |
P16308
|
FINISHED |
| Object | three-fifths of all other Persons |
—
|
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: three-fifths of all other Persons | Statement: [Three-Fifths Compromise, establishedRatio, three-fifths of all other Persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedRatio Context triple: [Three-Fifths Compromise, establishedRatio, three-fifths of all other Persons]
-
A.
hasProportion
chosen
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
-
B.
officialProportion
Indicates the proportion or percentage of something as formally defined or reported by an official source or authority.
-
C.
establishedAs
Indicates that one entity is formally created, designated, or recognized in a particular role, status, or identity as another entity.
-
D.
subunitRatio
Indicates the proportional relationship between the quantities or sizes of different subunits within a larger whole.
-
E.
establishedFollowing
Indicates that one entity created or set up another entity after, and in consequence of, a prior entity or event.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.