Triple
T10282819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenson v. Eveleth Taconite Co. |
E241145
|
entity |
| Predicate | classType |
P34022
|
FINISHED |
| Object | class of female hourly employees |
—
|
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: class of female hourly employees | Statement: [Jenson v. Eveleth Taconite Co., classType, class of female hourly employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classType Context triple: [Jenson v. Eveleth Taconite Co., classType, class of female hourly employees]
-
A.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
-
B.
definesClassification
chosen
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
C.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
D.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
operatorClass
Indicates the classification or category of an operator in terms of its type, role, or functional group within a system or domain.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:39 a.m.