Triple
T18517668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Jogues |
E452506
|
entity |
| Predicate | returnedToNewFranceYear |
P131976
|
FINISHED |
| Object | 1644 |
—
|
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: 1644 | Statement: [Isaac Jogues, returnedToNewFranceYear, 1644]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToNewFranceYear Context triple: [Isaac Jogues, returnedToNewFranceYear, 1644]
-
A.
returnedToFrance
Indicates that an entity went back to France after having been away.
-
B.
firstPermanentFrenchSettlementFoundedInYear
Indicates the year in which the first permanent French settlement was founded in a given place.
-
C.
repatriatedOn
Indicates that something or someone was returned to their country or place of origin on a specific date or time.
-
D.
laterStatusOfFrenchAdministration
Indicates that one administrative status of a French territory or entity chronologically follows and replaces another earlier status.
-
E.
reestablishedInYear
Indicates that an entity, previously existing and then discontinued or dissolved, was brought back into existence or operation in the specified 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338b2cd0819095db59f6bfc70814 |
completed | April 19, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.