Triple
T2005272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court for the Trial of Impeachments and the Correction of Errors |
E43565
|
entity |
| Predicate | namedAfterFunction |
P13174
|
FINISHED |
| Object | trial of impeachments |
—
|
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: trial of impeachments | Statement: [Court for the Trial of Impeachments and the Correction of Errors, namedAfterFunction, trial of impeachments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterFunction Context triple: [Court for the Trial of Impeachments and the Correction of Errors, namedAfterFunction, trial of impeachments]
-
A.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
B.
namedAfterField
Indicates that one entity has been given a name derived from or in honor of another entity, typically a person, place, or thing.
-
C.
namedAfterPosition
chosen
Indicates that an entity is named after a specific position, role, or rank associated with it.
-
D.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in time.
-
E.
classAfter
Indicates that one class or course occurs later in time or sequence than another class or course.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89717c88190ba506134c671d386 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.