Triple
T5561948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Export Control Reform Act of 2018 |
E145785
|
entity |
| Predicate | titleInPublicLaw |
P11473
|
FINISHED |
| Object | Title XVII, Subtitle B |
—
|
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: Title XVII, Subtitle B | Statement: [Export Control Reform Act of 2018, titleInPublicLaw, Title XVII, Subtitle B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInPublicLaw Context triple: [Export Control Reform Act of 2018, titleInPublicLaw, Title XVII, Subtitle B]
-
A.
hasTitleInLaw
chosen
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
B.
titleJurisdiction
Indicates the legal or official authority under which a title is recognized, governed, or issued.
-
C.
courtTitle
Indicates the official judicial position or title held by a person within a court system.
-
D.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
E.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02019c6748190aeefb86f489f726a |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.