Triple
T17061762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Delaware |
E413976
|
entity |
| Predicate | reasonForHighCorporateCaseload |
P125700
|
FINISHED |
| Object | large number of companies incorporated in Delaware |
—
|
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: large number of companies incorporated in Delaware | Statement: [District of Delaware, reasonForHighCorporateCaseload, large number of companies incorporated in Delaware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForHighCorporateCaseload Context triple: [District of Delaware, reasonForHighCorporateCaseload, large number of companies incorporated in Delaware]
-
A.
topCorporateRateAfterReform
Indicates the highest corporate tax rate that applies following the implementation of a specified tax reform.
-
B.
numberOfRegionalCorporations
Indicates the quantity of regional corporations associated with or defined for a given entity.
-
C.
positionOnCorporations
Indicates a stance, policy, or viewpoint that an entity holds regarding corporations as a whole or corporate entities in general.
-
D.
typeOfCasesHandled
Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
-
E.
impactOnCaseFlow
Indicates how an event, action, or decision affects the progression, timing, or movement of cases through a process or system.
- F. None of above. chosen
Provenance (4 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.