Triple
T1266896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toomer v. Witsell |
E15620
|
entity |
| Predicate | discriminationType |
P4663
|
FINISHED |
| Object | discriminatory licensing fees against out-of-state commercial fishermen |
—
|
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: discriminatory licensing fees against out-of-state commercial fishermen | Statement: [Toomer v. Witsell, discriminationType, discriminatory licensing fees against out-of-state commercial fishermen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discriminationType Context triple: [Toomer v. Witsell, discriminationType, discriminatory licensing fees against out-of-state commercial fishermen]
-
A.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
B.
discriminatoryLaw
chosen
Indicates that a law treats individuals or groups differently in a way that is biased, unfair, or based on protected characteristics such as race, gender, or religion.
-
C.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
D.
segregationBasis
Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
-
E.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c037f14c8190baa42f70f8846583 |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.