Triple
T4771970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German presidential election, 1925 |
E105947
|
entity |
| Predicate | secondRoundTurnout |
P1234
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [German presidential election, 1925, secondRoundTurnout, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondRoundTurnout Context triple: [German presidential election, 1925, secondRoundTurnout, high]
-
A.
secondRoundRunnerUpVoteSharePercentage
Indicates the percentage of total votes received by the candidate who finished as runner-up in the second round of a contest or election.
-
B.
includesSecondRound
Indicates that the referenced process, event, or activity contains or involves a second round or phase as part of its structure.
-
C.
secondRoundDate
Indicates the date on which the second round of an event, process, or sequence is scheduled or occurs.
-
D.
voterTurnoutPercentage
chosen
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
E.
secondDissolution
Indicates that an entity undergoes a second instance of dissolution or breakup, following a prior dissolution event.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.