Triple
T21154357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada's 1st congressional district |
E521273
|
entity |
| Predicate | federalDistrictNumberInState |
P13468
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Nevada's 1st congressional district, federalDistrictNumberInState, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalDistrictNumberInState Context triple: [Nevada's 1st congressional district, federalDistrictNumberInState, 1]
-
A.
federalDistrictNumber
chosen
Indicates the specific numbered federal electoral or administrative district associated with an entity.
-
B.
federalReserveDistrictNumber
Indicates the specific Federal Reserve district number with which an entity (such as a bank or location) is associated.
-
C.
federalDistrictType
Indicates the specific category or classification of a federal district within a governmental or administrative system.
-
D.
federalDistrictComponent
Indicates that one administrative or territorial unit is a constituent part of a federal district within a federal system.
-
E.
federalDivisionNumbering
Indicates the numbering or identifier assigned to a federal administrative or electoral division within a larger federal system.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252a48788190bfdfe811fc6cfc06 |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.