Triple
T4640018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buchanan v. Warley |
E101629
|
entity |
| Predicate | partyRaceContext |
P57536
|
FINISHED |
| Object | involved a white seller and a Black purchaser of property |
—
|
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: involved a white seller and a Black purchaser of property | Statement: [Buchanan v. Warley, partyRaceContext, involved a white seller and a Black purchaser of property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyRaceContext Context triple: [Buchanan v. Warley, partyRaceContext, involved a white seller and a Black purchaser of property]
-
A.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
B.
partyInElection
Indicates that a political party participates as a contestant or actor in a specific election.
-
C.
runnerUpParty
Indicates the political party that finished in second place in an election or contest.
-
D.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
E.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8fbd2c8190b593cd46ce8dfe0f |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:14 p.m.