Triple
T26082364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice Fellowship |
E657879
|
entity |
| Predicate | focusesOnSystem |
P31
|
FINISHED |
| Object | U.S. legal system |
—
|
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: U.S. legal system | Statement: [Justice Fellowship, focusesOnSystem, U.S. legal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnSystem Context triple: [Justice Fellowship, focusesOnSystem, U.S. legal system]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
autofocusSystem
Indicates that there is an autofocus mechanism or method used to automatically adjust focus in an imaging or optical system.
-
C.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
D.
coversSystem
Indicates that one entity provides coverage, applicability, or protection for a particular system.
-
E.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 7:39 p.m.