Triple
T34786473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Trans-Missouri Freight Association |
E1002824
|
entity |
| Predicate | rejectedDefense |
P21299
|
FINISHED |
| Object | that fixed rates were reasonable |
—
|
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: that fixed rates were reasonable | Statement: [United States v. Trans-Missouri Freight Association, rejectedDefense, that fixed rates were reasonable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rejectedDefense Context triple: [United States v. Trans-Missouri Freight Association, rejectedDefense, that fixed rates were reasonable]
-
A.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
B.
rejectedIn
Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
-
C.
rejectedJustification
chosen
Indicates that a proposed justification or reason offered in a context (e.g., argument, decision, or claim) has been evaluated and not accepted as valid or sufficient.
-
D.
rejectedConcept
Indicates that one entity has refused to accept, approve, or adopt a particular concept proposed by another entity.
-
E.
rejectedAward
Indicates that an entity refused to accept or declined an award that was offered or granted to it.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.