Triple
T1165281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strom Thurmond |
E24584
|
entity |
| Predicate | popularVotePercentageIn1948 |
P9216
|
FINISHED |
| Object | 2.4% |
—
|
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: 2.4% | Statement: [Strom Thurmond, popularVotePercentageIn1948, 2.4%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVotePercentageIn1948 Context triple: [Strom Thurmond, popularVotePercentageIn1948, 2.4%]
-
A.
smithPopularVotePercentage
Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
-
B.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
C.
popularVotePercentageLoser
Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
-
D.
hooverPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Hoover in an election.
-
E.
popularVoteShare
chosen
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccb3b388190938c68dee90b3f19 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.