Triple
T10800016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Judicial District |
E254812
|
entity |
| Predicate | hasNumberOfJusticesElectedFromDistrict |
P95535
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [First Judicial District, hasNumberOfJusticesElectedFromDistrict, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfJusticesElectedFromDistrict Context triple: [First Judicial District, hasNumberOfJusticesElectedFromDistrict, 3]
-
A.
eachDistrictElects
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
B.
nominatedToDistrictCourtBy
Indicates that one entity formally selected or proposed another entity for a position on a district court.
-
C.
justicesSelectedFrom
Indicates that certain justices are chosen or appointed from a particular group, body, or pool of candidates.
-
D.
hasJudicialDistrict
Indicates that an entity falls within or is associated with a specific judicial district for legal or court-related purposes.
-
E.
electoralCollegeDistrictOf
Indicates that one entity is the electoral college district to which another entity (such as a voter, candidate, or geographic area) belongs or is assigned.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733366c408190bfd3b57be5ef2440 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:18 p.m.