Triple
T26467314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio's 21st congressional district |
E665801
|
entity |
| Predicate | longRepresentedBy |
P159994
|
FINISHED |
| Object | Louis Stokes |
—
|
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: Louis Stokes | Statement: [Ohio's 21st congressional district, longRepresentedBy, Louis Stokes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longRepresentedBy Context triple: [Ohio's 21st congressional district, longRepresentedBy, Louis Stokes]
-
A.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
B.
longStandingRepresentationBy
chosen
Indicates a sustained, ongoing relationship in which one entity has represented or acted on behalf of another for an extended period of time.
-
C.
primarilyRepresentedBy
Indicates that one entity serves as the main or most characteristic representation or depiction of another entity.
-
D.
representedUntil
Indicates that an entity served as a representation or proxy for another entity up to a specific point in time, after which it no longer did.
-
E.
representedTo
Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6129a319881908110a8480090c066 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:17 a.m.