Triple
T7094152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris v. Forklift Systems, Inc. |
E165277
|
entity |
| Predicate | testFactor |
P7701
|
FINISHED |
| Object | frequency of the discriminatory conduct |
—
|
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: frequency of the discriminatory conduct | Statement: [Harris v. Forklift Systems, Inc., testFactor, frequency of the discriminatory conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testFactor Context triple: [Harris v. Forklift Systems, Inc., testFactor, frequency of the discriminatory conduct]
-
A.
considersFactor
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
B.
agreesWithFactorialOn
Indicates that a function or expression produces the same values as the factorial function for all inputs in a specified domain.
-
C.
testFacility
Indicates that an entity serves as a facility or location where tests, experiments, or evaluations are conducted for another entity.
-
D.
primeFactorization
Indicates that one entity is the decomposition of another entity into a multiset or sequence of prime factors whose product equals the original.
-
E.
recognizesFactorType
chosen
Indicates that one entity identifies or acknowledges another entity as a specific type or category of factor.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e55159848190a794ad77e60c5525 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.