Triple
T1740749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenure of Office Act |
E38226
|
entity |
| Predicate | yearOfFirstImpeachmentUse |
P31776
|
FINISHED |
| Object | 1868 |
—
|
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: 1868 | Statement: [Tenure of Office Act, yearOfFirstImpeachmentUse, 1868]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstImpeachmentUse Context triple: [Tenure of Office Act, yearOfFirstImpeachmentUse, 1868]
-
A.
impeachmentYear
Indicates the year in which an entity (typically a public official) was formally impeached.
-
B.
firstUsedInElection
Indicates that something (such as a method, technology, or rule) was used for the first time in a particular election.
-
C.
firstCombatUseDate
Indicates the date on which something (typically a weapon, system, or tactic) was first used in actual combat.
-
D.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
E.
numberOfArticlesOfImpeachment
Indicates the specific count of formal impeachment charges brought against a person or officeholder.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab3c2479148190badc616f8e2686d4 |
completed | March 6, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.