Triple
T6079353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Le Moyne de Longueuil et de Châteauguay |
E135482
|
entity |
| Predicate | yearOfArrivalInNewFrance |
P26445
|
FINISHED |
| Object | 1641 |
—
|
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: 1641 | Statement: [Charles Le Moyne de Longueuil et de Châteauguay, yearOfArrivalInNewFrance, 1641]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfArrivalInNewFrance Context triple: [Charles Le Moyne de Longueuil et de Châteauguay, yearOfArrivalInNewFrance, 1641]
-
A.
yearOfArrivalInNewWorld
chosen
Indicates the specific year in which an entity arrived in the New World.
-
B.
firstPermanentFrenchSettlementFoundedInYear
Indicates the year in which the first permanent French settlement was founded in a given place.
-
C.
firstPermanentFrenchSettlement
Indicates that one entity is the location where the other entity established the first enduring French settlement.
-
D.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
E.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.