Triple
T1945388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Farel |
E42044
|
entity |
| Predicate | banishmentYearFromGeneva |
P34208
|
FINISHED |
| Object | 1538 |
—
|
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: 1538 | Statement: [William Farel, banishmentYearFromGeneva, 1538]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: banishmentYearFromGeneva Context triple: [William Farel, banishmentYearFromGeneva, 1538]
-
A.
excommunicationYear
Indicates the year in which an entity was formally excommunicated from a religious community or institution.
-
B.
excommunicationDate
Indicates the date on which an individual or entity was formally excommunicated from a religious community or institution.
-
C.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
D.
confiscationYear
Indicates the year in which something was officially taken away or seized, typically by an authority.
-
E.
condemnedInYear
Indicates that an entity was formally condemned or denounced in a specific calendar year.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:36 p.m.