Triple
T34272158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Arkansas |
E879347
|
entity |
| Predicate | isNamedForOffice |
P178730
|
FINISHED |
| Object | third President of the United States |
—
|
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: third President of the United States | Statement: [Jefferson County, Arkansas, isNamedForOffice, third President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedForOffice Context triple: [Jefferson County, Arkansas, isNamedForOffice, third President of the United States]
-
A.
isHonorificOffice
Indicates that a given office or position is honorary in nature, typically carrying prestige or ceremonial status rather than substantive powers or duties.
-
B.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
C.
identifiesOffice
Indicates that one entity serves to specify or recognize the particular office or official position associated with another entity.
-
D.
nominatesForOffice
Indicates that one entity formally proposes or selects another entity as a candidate to hold a particular office or position.
-
E.
namedForStateRepresented
Indicates that an entity is named after the state that it represents.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:56 a.m.