Triple
T33328009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of John Tyler |
E853318
|
entity |
| Predicate | presidentBirthPlace |
P1
|
FINISHED |
| Object | Charles City County, Virginia |
—
|
NE NERFINISHED |
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: Charles City County, Virginia | Statement: [Presidency of John Tyler, presidentBirthPlace, Charles City County, Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentBirthPlace Context triple: [Presidency of John Tyler, presidentBirthPlace, Charles City County, Virginia]
-
A.
hasMotherOfUSPresidentBornHere
Indicates that the subject location is the birthplace of a woman who is the mother of a person who became President of the United States.
-
B.
cityOfBirthOfNamesake
Indicates that one entity is the city where the namesake (the person or entity after whom something is named) of another entity was born.
-
C.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
D.
homeOfPresident
Indicates the location that serves as the residence of a president.
-
E.
locatedInFormerPresidency
Indicates that an entity was geographically or administratively situated within a territory that was formerly governed as a presidency.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:34 a.m.