Triple
T4863190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trial of Louis XVI |
E108707
|
entity |
| Predicate | numberVotingForDeathPenalty |
P54474
|
FINISHED |
| Object | 361 |
—
|
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: 361 | Statement: [Trial of Louis XVI, numberVotingForDeathPenalty, 361]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberVotingForDeathPenalty Context triple: [Trial of Louis XVI, numberVotingForDeathPenalty, 361]
-
A.
numberSentencedToDeath
Indicates the number of individuals who have been formally sentenced to receive the death penalty.
-
B.
numberOfVoters
chosen
Indicates the total count of individuals who participated in a particular vote or election.
-
C.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
D.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
-
E.
voteCountedIn
Indicates that a particular vote has been included in the official tally for a specific election, contest, or jurisdiction.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d60e47c819094b5fbe883db4c15 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.