Triple
T27795579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel C. Pomeroy |
E701198
|
entity |
| Predicate | wasOneOfFirstSenatorsOf |
P80448
|
FINISHED |
| Object | Kansas |
—
|
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: Kansas | Statement: [Samuel C. Pomeroy, wasOneOfFirstSenatorsOf, Kansas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOneOfFirstSenatorsOf Context triple: [Samuel C. Pomeroy, wasOneOfFirstSenatorsOf, Kansas]
-
A.
firstElectedToSenate
chosen
Indicates the event or relationship in which a person is initially chosen or wins election to serve as a member of a senate.
-
B.
firstRepresentationInCongress
Indicates that an entity marks the initial time or instance another entity is represented in a specific session or body of Congress.
-
C.
precededInSenateBy
Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
-
D.
hasFormerSenator
Indicates that an entity previously held the position of senator for another entity (such as a state, country, or organization).
-
E.
hasSenateSeatsSince
Indicates that an entity has held a specified number of seats in a senate starting from a particular point in time.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:31 p.m.